Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises | Paper Citation Record

Observation dd1161e8-6531-42f0-97f5-f7df9b200313 · outbound

This paper cites Johnson et al.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Johnson et al

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.053027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18785562-2773-489c-92fe-d58e0e28a6c6 · outbound

This paper cites an unresolved cited work.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.059034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cd56b21-3246-46da-bbfd-583d78a16ce5 · outbound

This paper cites Mimic-iv: Medical information mart for intensive care.https://mimic.mit.edu/, 2020.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Mimic-iv: Medical information mart for intensive care.https://mimic.mit.edu/, 2020

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.064288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44f9a806-0e75-4102-b9d0-7122534233a3 · outbound

This paper cites Themedicalinformationmart for intensive care (mimic).PhysioNet, 1:e5, 2011.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Themedicalinformationmart for intensive care (mimic).PhysioNet, 1:e5, 2011

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.068874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8df3e06e-2465-48a4-9852-0c3e9e0b40dd · outbound

This paper cites Multi- stageadaptivefilterforecgsignalprocessing.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Multi- stageadaptivefilterforecgsignalprocessing

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.073730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 205e0566-ddd2-4a0a-8315-34592fdc60fa · outbound

This paper cites Using freely ac- cessibledatabasesforlaboratorymedicineresearch:experiencewith mimic database.Journal of Laboratory and Precision Medicine, 2(6), 2017.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Using freely ac- cessibledatabasesforlaboratorymedicineresearch:experiencewith mimic database.Journal of Laboratory and Precision Medicine, 2(6), 2017

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.078849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7faeff7b-e6eb-46fd-82ec-98fb0c52d7e9 · outbound

This paper cites Activedeeplearningtodetect demographictraitsinfree-formclinicalnotes.JournalofBiomedical Informatics, 107:103436, 2020.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Activedeeplearningtodetect demographictraitsinfree-formclinicalnotes.JournalofBiomedical Informatics, 107:103436, 2020

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.084738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ca6dcbb-09b6-474a-b321-164172f42ae4 · outbound

This paper cites an unresolved cited work.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.089302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa2d7037-44d6-4c04-9ee4-762337184286 · outbound

This paper cites Lehman Li-wei, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits,LeoAnthonyCeli,andRogerGMark.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Lehman Li-wei, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits,LeoAnthonyCeli,andRogerGMark

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.093696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b9c0365-c007-46c9-980b-76621c6dffbf · outbound

This paper cites Scale-sensitive response behavior in particle physics, 2015.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Scale-sensitive response behavior in particle physics, 2015

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.098690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b2bc663-9f67-4bc6-8498-3334e24dc6bd · outbound

This paper cites Challenges and recommendations for evidence-informed policy.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Challenges and recommendations for evidence-informed policy

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.103396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec205a82-b875-4e82-a77e-b382f35f7129 · outbound

This paper cites an unresolved cited work.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.107934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ddec9ae-bc4a-4a41-8507-158a1d502fcb · outbound

This paper cites an unresolved cited work.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.112357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa6e4ece-e642-4f05-93a3-84be11ae6fc9 · outbound

This paper cites Artificial intelligence and biosensors in healthcare and its clinical relevance: A review.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Artificial intelligence and biosensors in healthcare and its clinical relevance: A review

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.116894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 003a4dde-aa3d-4ac3-b119-f3455d08b6e4 · outbound

This paper cites Ai in drug discovery and its clinical relevance.Heliyon, 9(7), 2023.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Ai in drug discovery and its clinical relevance.Heliyon, 9(7), 2023

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.121430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d457501-3ee4-476c-9993-c344beb93940 · outbound

This paper cites Beyond thehipaaprivacyrule:enhancingprivacy,improvinghealththrough research.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Beyond thehipaaprivacyrule:enhancingprivacy,improvinghealththrough research

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.125797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a409acf6-ce9f-48de-84de-37bb9165fa66 · outbound

This paper cites Mimic-iii database access information, 2020.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Mimic-iii database access information, 2020

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.130876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67eff314-7b78-4be8-b7a1-f50c14e5d202 · outbound

This paper cites Data descriptor: Mimic-iii, a freely accessible critical care database.Scientific data, 3(160035):1–9, 2016.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Data descriptor: Mimic-iii, a freely accessible critical care database.Scientific data, 3(160035):1–9, 2016

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.135797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b5cfb24-df39-4644-81f9-9e7edc962562 · outbound

This paper cites Mimic-cxr:Alarge publicly available database of chest x-rays.https://physionet.org/ content/mimic-cxr/,2019.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Mimic-cxr:Alarge publicly available database of chest x-rays.https://physionet.org/ content/mimic-cxr/,2019

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.140309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b4918b1-117b-41da-b89e-684318fab998 · outbound

This paper cites Mimic-iv, a freely accessible electronic health record dataset.Scientific data, 10(1):1, 2023.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Mimic-iv, a freely accessible electronic health record dataset.Scientific data, 10(1):1, 2023

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.144754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae3a0ca2-4b41-4688-93a7-b34fd621c47a · outbound

This paper cites Mixture cure semiparametric additive hazard models under partly interval censoring -- a penalized likelihood approach.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Mixture cure semiparametric additive hazard models under partly interval censoring -- a penalized likelihood approach

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.149323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef09c6b6-e94e-4adb-b593-5e8f24c76846 · outbound

This paper cites an unresolved cited work.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.154113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afd6f071-7319-4dfd-9ead-8d1f87d06163 · outbound

This paper cites Themimiccoderepos- itory: enabling reproducibility in critical care research.Scientific Data, 25(1):32–39, 2018.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Themimiccoderepos- itory: enabling reproducibility in critical care research.Scientific Data, 25(1):32–39, 2018

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.158557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8689e83c-4720-4f31-a140-b8df3c0758cf · outbound

This paper cites Oppor- tunitiesandchallengesfordevelopingmachinelearningmodelswith ehrdata.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Oppor- tunitiesandchallengesfordevelopingmachinelearningmodelswith ehrdata

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.167884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76351656-d641-42b8-aa7c-73f7f02f185d · outbound

This paper cites Benchmarking fhir/omop exports for data completeness and performance.Computer Methods and Programs in Biomedicine, 245:107214, 2024.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Benchmarking fhir/omop exports for data completeness and performance.Computer Methods and Programs in Biomedicine, 245:107214, 2024

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.172727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c1910aa-f1f9-43ad-b4a3-baa1bb5cc3f3 · outbound

This paper cites Payberah, Mariagrazia Zottoli, Milad Nazarzadeh, Nathalie Conrad, Kazem Rahimi, and Gholamreza Salimi-Khorshidi.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Payberah, Mariagrazia Zottoli, Milad Nazarzadeh, Nathalie Conrad, Kazem Rahimi, and Gholamreza Salimi-Khorshidi

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.177003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c80d358-f10d-4b8c-b8d6-c8cab06e0841 · outbound

This paper cites Scalable and accurate deep learning with electronic health records.NPJ Digital Medicine, 1(1):18, 2018.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Scalable and accurate deep learning with electronic health records.NPJ Digital Medicine, 1(1):18, 2018

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.181364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0646d305-be9d-4238-8f68-eba8b6182924 · outbound

This paper cites an unresolved cited work.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.185921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a27a53b3-88b1-447c-ac63-11dc2c50a6e9 · outbound

This paper cites Enhancing patient outcome prediction through deep learning with sequential diagnosis codes from structured electronic health record data: Systematic review.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Enhancing patient outcome prediction through deep learning with sequential diagnosis codes from structured electronic health record data: Systematic review

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.190559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 675ba598-9547-4b2c-96b5-8e312889306e · outbound

This paper cites Deeplearningforelectronichealthrecords:Acomparative review of model architectures.Computer Methods and Programs in Biomedicine, 2019.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Deeplearningforelectronichealthrecords:Acomparative review of model architectures.Computer Methods and Programs in Biomedicine, 2019

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.195222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1382fbed-268b-423b-a65d-5ea95cd4de0a · outbound

This paper cites Sheng, Jieming Ma, and ZhimingCui.Asurveyofdeeplearningforelectronichealthrecords.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Sheng, Jieming Ma, and ZhimingCui.Asurveyofdeeplearningforelectronichealthrecords

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.200114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12b04a72-67df-41c5-8384-9a58aad4ee3d · outbound

This paper cites Benchmarking with MIMIC-IV, an irregular, spare clinical time series dataset.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Benchmarking with MIMIC-IV, an irregular, spare clinical time series dataset

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:10:27.508467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cf6ffb7d-e01a-4ee8-beda-b5ae2c3b1961 · outbound

This paper cites Omopandfhirindatastandardization.Kodjin Blog, 2024.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Omopandfhirindatastandardization.Kodjin Blog, 2024

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.209570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54aac008-bd6f-401d-87a5-f43732a705b0 · outbound

This paper cites Mimic-ivon fhir: Converting a decade of in-patient data into a standardized fhir database.JournaloftheAmericanMedicalInformaticsAssociation, 30(4):718–726, 2023.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Mimic-ivon fhir: Converting a decade of in-patient data into a standardized fhir database.JournaloftheAmericanMedicalInformaticsAssociation, 30(4):718–726, 2023

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.213940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dd18d76-9126-4d3c-80f2-c99c67baf9b9 · outbound

This paper cites Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.219186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b9a6a1c-06b9-449e-bccf-c3f240e5491d · outbound

This paper cites Benchmarking deep learning models on large healthcare datasets.Computer Methods and Programs in Biomedicine, 2018.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Benchmarking deep learning models on large healthcare datasets.Computer Methods and Programs in Biomedicine, 2018

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.224174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4179b74e-0202-49f8-837a-449144dbb683 · outbound

This paper cites McDermott and G.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises McDermott and G

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.228697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bda20e1d-828c-41b4-9dc1-6058e670e8bb · outbound

This paper cites Benchmarking emergency department prediction models with mimic-iv-ed.PMC, 2022.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Benchmarking emergency department prediction models with mimic-iv-ed.PMC, 2022

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.233172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b0cfe83-291e-4d75-9fec-b10d2972c720 · outbound

This paper cites Mimic in the omop common data model.ResearchGate Preprint, 2021.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Mimic in the omop common data model.ResearchGate Preprint, 2021

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.237628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3631feee-20d9-4def-a4be-15cc62aba07b · outbound

This paper cites Empoweringhealthcareinteroperability:Harness- ing hl7/fhir and omop for seamless data exchange, 2024.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Empoweringhealthcareinteroperability:Harness- ing hl7/fhir and omop for seamless data exchange, 2024

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.242076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99654227-076d-48c4-87dc-d2733b48d62d · outbound

This paper cites Interpretability and fairness evaluation of deep learning models on mimic-iv dataset.Scientific Reports, 12:7166, 2022.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Interpretability and fairness evaluation of deep learning models on mimic-iv dataset.Scientific Reports, 12:7166, 2022

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.247544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11103c07-c6ca-497e-ad9c-4d643bcc62c3 · outbound

This paper cites an unresolved cited work.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.251964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 467feb7a-dc64-4e79-86f9-4293f1d28c8d · outbound

This paper cites Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:10:27.473614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e59654cf-121c-47f9-a79a-4786c49e4e5c · outbound

This paper cites ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:10:27.452794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a3bb02c6-abc5-4829-942b-922bef10b572 · outbound

This paper cites ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:10:27.429482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d3d6aa42-cb36-4549-a865-f18556897893 · outbound

This paper cites Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:10:27.405507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bc375329-2ae9-4b27-a7e9-35c95559cc3a · outbound

This paper cites Real-time machine learning model to predict short-term mortality in critically ill patients.Critical Care, 28:66, 2024.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Real-time machine learning model to predict short-term mortality in critically ill patients.Critical Care, 28:66, 2024

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.275100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f135563-1da6-4ea7-a526-ae635478bac2 · outbound

This paper cites Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:10:27.383569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 86657aec-ef92-4a2d-b740-95701924f587 · outbound

This paper cites The artificial intelligence clinician learns optimal treatment strategies for sepsis in intensive care.Na- ture Medicine, 24(11):1716–1720, 2018.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises The artificial intelligence clinician learns optimal treatment strategies for sepsis in intensive care.Na- ture Medicine, 24(11):1716–1720, 2018

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.283948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56cf323f-0472-44a1-8be3-f11e74d02703 · outbound

This paper cites Continuous state imitation learning for sequential decision-making.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Continuous state imitation learning for sequential decision-making

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.288473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36233c32-c613-486d-b0fe-521cf024dce4 · outbound

This paper cites Safe reinforcement learning for sepsis treatment.Biophysical Journal, 116(3):486a, 2019.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Safe reinforcement learning for sepsis treatment.Biophysical Journal, 116(3):486a, 2019

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.293008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cac5b0d-8852-41de-ae6d-e22148904796 · outbound

This paper cites Multivariate stable approximation in Wasserstein distance by Stein's method.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Multivariate stable approximation in Wasserstein distance by Stein's method

Reference 54

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T20:10:27.363649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2ec564f2-0f90-452b-a087-d2154cefffed · outbound

This paper cites an unresolved cited work.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Unresolved cited work

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.301955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc542bf7-0558-44d8-b2f3-17a5a6d55571 · outbound

This paper cites Model mismatch in imitation learning for healthcare.AMIAAnnualSymposiumProceedings,pages907–916, 2020.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Model mismatch in imitation learning for healthcare.AMIAAnnualSymposiumProceedings,pages907–916, 2020

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.306538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51d77086-385b-48a5-9f48-3ab6f31b5f98 · outbound

This paper cites an unresolved cited work.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.310951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aad65d1-b6e0-45cc-b297-402b794aee47 · outbound

This paper cites Counterfactual imitation learning in healthcare: Managing confounding biases.Journal of Machine Learning Re- search, 22:1–28, 2021.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Counterfactual imitation learning in healthcare: Managing confounding biases.Journal of Machine Learning Re- search, 22:1–28, 2021

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.315924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25e0b662-1efe-4d1a-b096-fbeffe8ee610 · outbound

This paper cites Model-basedreinforcementlearningforsepsis management.Proceedings of the AAAI Conference on Artificial Intelligence, 34:7917–7924, 2020.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Model-basedreinforcementlearningforsepsis management.Proceedings of the AAAI Conference on Artificial Intelligence, 34:7917–7924, 2020

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.321074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02d8e274-973f-432d-8949-e007e84454e4 · outbound

This paper cites Attention-based deep reinforcement learning for interpretable treatment recommendations.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Attention-based deep reinforcement learning for interpretable treatment recommendations

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.325668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40ad0028-e415-4455-9ace-8ff7e4a08972 · outbound

This paper cites Investigationofbiasesinmortalityprediction models trained on MIMIC-III.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Investigationofbiasesinmortalityprediction models trained on MIMIC-III

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.329984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6109a9b-02e4-474c-86c5-698f400dadc4 · outbound

This paper cites Title of the study.Journal of Medical Research, 15(3):123–130, 2020.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Title of the study.Journal of Medical Research, 15(3):123–130, 2020

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.334361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e0f6ccd-58fb-48f5-971b-2eb56992f108 · outbound

This paper cites Asurveyondeepmultimodal learning for computer vision: Advances, trends, applications, and datasets.The Visual Computer, 37:1323–1341, 2021.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Asurveyondeepmultimodal learning for computer vision: Advances, trends, applications, and datasets.The Visual Computer, 37:1323–1341, 2021

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.339754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4349f3f-bc63-43e8-97d4-1db50361fd09 · outbound

This paper cites Deep ehr: A survey of recent advances in deep learning techniques forelectronichealthrecord(ehr)analysis.IEEEJournalofBiomed- ical and Health Informatics, 2018.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Deep ehr: A survey of recent advances in deep learning techniques forelectronichealthrecord(ehr)analysis.IEEEJournalofBiomed- ical and Health Informatics, 2018

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.344627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78e27216-f85c-46c8-ae9c-0a628102b20f · outbound

This paper cites Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:10:27.340343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a22d976f-230f-4e6a-87d7-f24a0280c2d6 · outbound

This paper cites Recurrent neural networks for multivariate time series with missing values.Scientific reports, 8(1):6085, 2018.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Recurrent neural networks for multivariate time series with missing values.Scientific reports, 8(1):6085, 2018

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.353667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a5e8de5-4f06-4451-b90a-ff98066a9244 · outbound

This paper cites an unresolved cited work.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Unresolved cited work

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.358202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c19f55f-8f4c-4a56-9cb8-a450d0b5d51c · outbound

This paper cites When machine learning meets privacy: A survey and outlook.ACM Computing Surveys (CSUR), 54(2):1–36, 2021.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises When machine learning meets privacy: A survey and outlook.ACM Computing Surveys (CSUR), 54(2):1–36, 2021

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.362549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62f6a1fc-9dca-40c0-bcc2-3ec8aaa3718e · outbound

This paper cites Clinical Intervention Prediction and Understanding using Deep Networks.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Clinical Intervention Prediction and Understanding using Deep Networks

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.367834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef1987be-4178-4cb3-8166-aee3339cbd2d · outbound

This paper cites Practical guidance on artificialintelligenceforhealth-caredata.TheLancetDigitalHealth, 1(4):e157–e159, 2019.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Practical guidance on artificialintelligenceforhealth-caredata.TheLancetDigitalHealth, 1(4):e157–e159, 2019

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.372502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aee90b42-9f03-4f70-b1fd-d2452af7be3c · outbound

This paper cites Time-series feature engineering for icu mortality prediction usingmimic-iiidata.JournalofBiomedicalInformatics,94:103188, 2019.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Time-series feature engineering for icu mortality prediction usingmimic-iiidata.JournalofBiomedicalInformatics,94:103188, 2019

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.376719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57323774-cb34-4b5f-83e8-c4ca663d49d2 · outbound

This paper cites Mimic:Acomprehensiveapproach to data imitation.Journal of Data Science and Machine Learning, 12(3):45–67, 2019.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Mimic:Acomprehensiveapproach to data imitation.Journal of Data Science and Machine Learning, 12(3):45–67, 2019

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.381597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e293a95-e2ce-4457-aad4-0928122aa2d4 · outbound

This paper cites The mimic-iii clini- cal database: A freely accessible critical care resource.JAMIA, 23(5):865–870, 2018.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises The mimic-iii clini- cal database: A freely accessible critical care resource.JAMIA, 23(5):865–870, 2018

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.386616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5e79e77-ce51-4ee4-9743-b430a4b12493 · outbound

This paper cites Multitask learning and benchmark- ing with clinical time series data.Scientific Data, 6:317, 2019.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Multitask learning and benchmark- ing with clinical time series data.Scientific Data, 6:317, 2019

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.391925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42ac29e4-5f78-4ce2-8692-2e77afb07faa · outbound

This paper cites Digital medicine and the curse of dimensionality.NPJ Digital Medicine, 4:153, 2021.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Digital medicine and the curse of dimensionality.NPJ Digital Medicine, 4:153, 2021

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.396921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91361de8-ae2a-4833-9530-489a0eb18af0 · outbound

This paper cites an unresolved cited work.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Unresolved cited work

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.401636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3f6f166-10a1-435e-9ee7-d41a19056333 · outbound

This paper cites Kohane and Others.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Kohane and Others

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.406041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be2aa059-0810-436d-84e7-db26f242b7c4 · outbound

This paper cites Hawryluk and Others.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Hawryluk and Others

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.410163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64a63859-681b-4617-a6c7-eca28c824b27 · outbound

This paper cites Ghassemi and Others.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Ghassemi and Others

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.414897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36c2e35d-6f03-436c-981c-c7ff4f486fb3 · outbound

This paper cites Kingma and Max Welling.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Kingma and Max Welling

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.419396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41611de6-49d7-4c5c-877b-8545d30bc2ee · outbound

This paper cites Processing of Electronic Health Records using Deep Learning: A review.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Processing of Electronic Health Records using Deep Learning: A review

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.423830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efc7ba6f-b0f0-467d-b270-85afd2126892 · outbound

This paper cites Anin-depthfeaturelearning algorithm for breast abnormality prognosis and robust character- ization from mammography images using deep transfer learning.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Anin-depthfeaturelearning algorithm for breast abnormality prognosis and robust character- ization from mammography images using deep transfer learning

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.428365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 660b1d2f-39b6-49cc-a4da-906d7a6eaacd · outbound

This paper cites Deep learning-based algo- rithm for detecting sepsis using multiple vital signs.Journal of Clinical Medicine, 8(5):559, 2019.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Deep learning-based algo- rithm for detecting sepsis using multiple vital signs.Journal of Clinical Medicine, 8(5):559, 2019

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.432951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8560c8c2-56c0-4bec-ad05-1fd34ba39582 · outbound

This paper cites A new in- sight into transfer learning in healthcare.Artificial Intelligence in Medicine, 77:66–73, 2017.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises A new in- sight into transfer learning in healthcare.Artificial Intelligence in Medicine, 77:66–73, 2017

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.437588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2001cad5-c42e-4e04-854c-df25db81b1c7 · outbound

This paper cites Sepsispredictionusingmachinelearningmodels:Acomprehensive review.Biomedical Engineering Letters, 10(2):149–164, 2020.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Sepsispredictionusingmachinelearningmodels:Acomprehensive review.Biomedical Engineering Letters, 10(2):149–164, 2020

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.441710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbc996ae-a779-498f-a4cf-cfc239dba963 · outbound

This paper cites Areviewofchallenges and opportunities in machine learning for health.Big Data, 8(1):3– 12, 2020.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Areviewofchallenges and opportunities in machine learning for health.Big Data, 8(1):3– 12, 2020

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.446298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58efe87c-199e-49e8-ab0a-e5db0a66bf34 · outbound

This paper cites Benchmarkingmachine learning models on multi-centre eicu critical care dataset.Plos one, 15(7):e0235424, 2020.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Benchmarkingmachine learning models on multi-centre eicu critical care dataset.Plos one, 15(7):e0235424, 2020

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.450733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3fd14f3-aa69-44bf-b1b2-432641e84a7e · outbound

This paper cites Komorowski, L.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Komorowski, L

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.454755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bfad2e8-a406-44aa-a1e7-fc344a9bfcb2 · outbound

This paper cites Explainable ai: A systematic literature review focusing on healthcare.Journal of Computer Science and Technology, 2024.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Explainable ai: A systematic literature review focusing on healthcare.Journal of Computer Science and Technology, 2024

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.458990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b22458a-a5e6-4355-8e1b-f8c768b29c69 · outbound

This paper cites Deep ehr: A survey of recent advances in deep learning techniques forelectronichealthrecord(ehr)analysis.IEEEJournalofBiomed- ical and Health Informatics, 21(1):4–21, 2017.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Deep ehr: A survey of recent advances in deep learning techniques forelectronichealthrecord(ehr)analysis.IEEEJournalofBiomed- ical and Health Informatics, 21(1):4–21, 2017

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.463753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 436385b2-5182-442c-8b9a-29e5c96eae1f · outbound

This paper cites Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records

Reference 91

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:10:27.529744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9e33ac37-5a88-45f1-aa6b-6432eb9b933f · outbound

This paper cites Mao and Others.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Mao and Others

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.472440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 082e6263-b8a3-4b65-b30d-7bd1614111b5 · outbound

This paper cites Self-supervised representation learning for ehr: A review.IEEE Transactions on Knowledge and Data Engineering, 33(8):1–15, 2021.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Self-supervised representation learning for ehr: A review.IEEE Transactions on Knowledge and Data Engineering, 33(8):1–15, 2021

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.476840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 566f739a-2356-4a4b-869e-3905e4060f92 · outbound

This paper cites an unresolved cited work.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Unresolved cited work

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.480874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 569439fd-a7bf-4c04-86b4-7a93e890dc9c · outbound

This paper cites Addressing missingness in medical time seriesusinggaussianprocesses.AMIAAnnualSymposiumProceed- ings, pages 111–120, 2022.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Addressing missingness in medical time seriesusinggaussianprocesses.AMIAAnnualSymposiumProceed- ings, pages 111–120, 2022

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.484957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b6bb388-d626-4613-b680-0c7c9c18cab8 · outbound

This paper cites Artificialintelligenceapplications in smart healthcare: A survey.Future Internet, 16(9):308, 2024.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Artificialintelligenceapplications in smart healthcare: A survey.Future Internet, 16(9):308, 2024

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.489558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe668a2c-dc02-4947-8d47-456ed0daaacb · outbound

This paper cites Khope and Susan Elias.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Khope and Susan Elias

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.493946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8499faeb-bae4-437b-9fc7-129e0fc49f31 · outbound

This paper cites Strategies of predictive schemes and clinical diagnosis for prognosis using mimic-iii: A systematic review.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Strategies of predictive schemes and clinical diagnosis for prognosis using mimic-iii: A systematic review

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.498538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d083605-8e7d-4caa-96a3-3039e5336050 · outbound

This paper cites Reliabledecisionsupportusingcounterfac- tualmodels.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Reliabledecisionsupportusingcounterfac- tualmodels

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.504310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90fe734f-a5d8-4dfc-bd8d-bc8db1b4fbed · outbound

This paper cites Zhang et al.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Zhang et al

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.508583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd1660f8-5247-4579-96ea-595c84b05f8f · outbound

This paper cites Ensemble learning for healthcare predictive modeling: A review.Artificial Intelligence in Medicine, 95:31–42, 2018.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Ensemble learning for healthcare predictive modeling: A review.Artificial Intelligence in Medicine, 95:31–42, 2018

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.512817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01332579-6604-487e-a56b-58019a91c88f · outbound

This paper cites Causalinferenceanddata-fusion in health care.Annual Review of Public Health, 41:61–78, 2020.

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Causalinferenceanddata-fusion in health care.Annual Review of Public Health, 41:61–78, 2020

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:26.517214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers