ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression | Paper Citation Record

Observation 3856279e-4a34-4650-9b83-75fb6d51e558 · outbound

This paper cites Nonparametric inference for a family of counting processes.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Nonparametric inference for a family of counting processes

Reference 1

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Observation 627d4edb-0814-45f1-b1bd-65201499e572 · outbound

This paper cites A review of interpretable ml in healthcare: taxonomy, applications, challenges, and future directions.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression A review of interpretable ml in healthcare: taxonomy, applications, challenges, and future directions

Reference 2

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This paper cites Neural additive models: Interpretable machine learning with neural nets.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Neural additive models: Interpretable machine learning with neural nets

Reference 3

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This paper cites Interpretable machine learning in healthcare.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Interpretable machine learning in healthcare

Reference 4

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This paper cites Explainability for artificial intelligence in healthcare: a multidisciplinary perspective.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

Reference 5

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Observation fbd85e91-276b-48f3-8d62-46dd957ea9e4 · outbound

This paper cites Can we gain more from orthogonality regularizations in training deep networks? Advances in Neural Information Processing Systems, 31, 2018.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Can we gain more from orthogonality regularizations in training deep networks? Advances in Neural Information Processing Systems, 31, 2018

Reference 6

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This paper cites A framework for modeling and interpreting patient subgroups applied to hospital readmission: visual analytical approach.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression A framework for modeling and interpreting patient subgroups applied to hospital readmission: visual analytical approach

Reference 7

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Observation 79c4f91e-55f0-40f2-96fd-53fa5644c491 · outbound

This paper cites Pattern recognition and machine learning, volume 4.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Pattern recognition and machine learning, volume 4

Reference 8

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This paper cites Verification of forecasts expressed in terms of probability.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Verification of forecasts expressed in terms of probability

Reference 9

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Observation c31f644c-23c7-4a96-b0ab-6dd3ed4cd098 · outbound

This paper cites Neural Photo Editing with Introspective Adversarial Networks.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Neural Photo Editing with Introspective Adversarial Networks

Reference 10

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Observation b2fe1fbe-8e1d-4e5d-aedd-97a9b95980e6 · outbound

This paper cites Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmission.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmission

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.484794Z

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Observation 96e6f590-e45a-4b36-be5f-7da12e31e638 · outbound

This paper cites Survival analysis part i: basic concepts and first analyses.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survival analysis part i: basic concepts and first analyses

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.471568Z

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Observation ef6b14d6-941f-45c5-9ad5-53799b8659c9 · outbound

This paper cites Polychemotherapy for early breast cancer: an overview of the randomised clinical trials with quality-adjusted survival analysis.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Polychemotherapy for early breast cancer: an overview of the randomised clinical trials with quality-adjusted survival analysis

Reference 13

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Observation 58b797c8-498e-499d-9820-59f3a6ea8351 · outbound

This paper cites Regression models and life-tables.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Regression models and life-tables

Reference 14

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Observation d60982d6-f0f0-42e3-a3d8-6aa2f6402f76 · outbound

This paper cites Use of nonclonal serum immunoglobulin free light chains to predict overall survival in the general population.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Use of nonclonal serum immunoglobulin free light chains to predict overall survival in the general population

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.438522Z

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This paper cites Survival analysis using auxiliary variables via multiple imputation, with application to aids clinical trial data.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survival analysis using auxiliary variables via multiple imputation, with application to aids clinical trial data

Reference 16

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Observation 87195226-dd6f-43f1-acf6-c4280e595a9d · outbound

This paper cites Survival analysis in clinical trials: past developments and future directions.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survival analysis in clinical trials: past developments and future directions

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.414946Z

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Observation b07a0a44-9b4a-47f3-adce-3702d75c4f46 · outbound

This paper cites Assessment and comparison of prognostic classification schemes for survival data.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Assessment and comparison of prognostic classification schemes for survival data

Reference 18

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Observation 6f8091ed-d17f-4054-b67d-fcddd3eaff6c · outbound

This paper cites Proportional hazards tests and diagnostics based on weighted residuals.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Proportional hazards tests and diagnostics based on weighted residuals

Reference 19

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This paper cites A sampling strategy to estimate the area and perimeter of irregularly shaped planar regions.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression A sampling strategy to estimate the area and perimeter of irregularly shaped planar regions

Reference 20

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Observation 59e9d118-6e02-48c7-8829-c92b8f87622d · outbound

This paper cites Survival analysis with electronic health record data: Experiments with chronic kidney disease.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survival analysis with electronic health record data: Experiments with chronic kidney disease

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.370848Z

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Observation 161a87a2-952f-4e3e-8f95-3bc2dfcb5fba · outbound

This paper cites Effective ways to build and evaluate individual survival distributions.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Effective ways to build and evaluate individual survival distributions

Reference 22

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Observation 5f2f3299-7501-4d46-ac25-ec10626540ce · outbound

This paper cites Survival Mixture Density Networks.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survival Mixture Density Networks

Reference 23

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Observation 4e0cb8cf-51e2-4e90-a8a6-623e27bea4e2 · outbound

This paper cites An evaluation of the doctor-interpretability of generalized additive models with interactions.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression An evaluation of the doctor-interpretability of generalized additive models with interactions

Reference 24

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Observation bb78a93c-fd30-4f41-9f6a-dddfb8eb065c · outbound

This paper cites Graphical methods for assessing violations of the proportional hazards assumption in cox regression.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Graphical methods for assessing violations of the proportional hazards assumption in cox regression

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.334409Z

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Observation d327506e-479b-485f-a8d7-08ee06c7ab01 · outbound

This paper cites Random survival forests.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Random survival forests

Reference 26

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Observation f1b7b057-8323-41f2-837a-a736883361a0 · outbound

This paper cites Neural survival clustering: Non-parametric mixture of neural networks for survival clustering.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Neural survival clustering: Non-parametric mixture of neural networks for survival clustering

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.310360Z

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Observation c45a80e4-1a40-4f38-b418-4e06ef4fbf92 · outbound

This paper cites Neural fine-gray: Monotonic neural networks for competing risks.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Neural fine-gray: Monotonic neural networks for competing risks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.298888Z

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Observation 9fd4846f-16ee-4202-a429-3e4820e82dd4 · outbound

This paper cites Competing Risks: Impact on Risk Estimation and Algorithmic Fairness.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Competing Risks: Impact on Risk Estimation and Algorithmic Fairness

Reference 29

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Observation e49a751c-d83f-4516-8e83-b2a0dca5f08e · outbound

This paper cites Coxnams: Interpretable deep learning model for survival analysis.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Coxnams: Interpretable deep learning model for survival analysis

Reference 30

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Observation bcedc998-cd85-4327-9d66-14f9a526500e · outbound

This paper cites Nonparametric estimation from incomplete observations.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Nonparametric estimation from incomplete observations

Reference 31

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Observation d19c2b43-0f70-4eeb-aad7-bc2e801abd1d · outbound

This paper cites Deepsurv: personalized treatment recommender system using a cox proportional hazards deep neural network.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Deepsurv: personalized treatment recommender system using a cox proportional hazards deep neural network

Reference 32

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Observation dd3936af-c01e-4aed-b905-9cde4bfcb284 · outbound

This paper cites Maximum likelihood estimation of flexible survival densities with importance sampling.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Maximum likelihood estimation of flexible survival densities with importance sampling

Reference 33

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 13f5bec6-0080-411d-92fe-5f31070a86fd · outbound

This paper cites Adam: A Method for Stochastic Optimization.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Adam: A Method for Stochastic Optimization

Reference 34

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Observation 02e2b000-2f12-4bec-bebd-87462260e3a8 · outbound

This paper cites The support prognostic model: Objective estimates of survival for seriously ill hospitalized adults.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression The support prognostic model: Objective estimates of survival for seriously ill hospitalized adults

Reference 35

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0a14b4f1-ab7b-43f2-8e5e-ce02f6f230c1 · outbound

This paper cites Feature selection algorithms in generalized additive models under concurvity.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Feature selection algorithms in generalized additive models under concurvity

Reference 36

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Observation ddff692c-4da0-4b47-97d8-7cd31ddf40de · outbound

This paper cites Survlime: A method for explaining machine learning survival models.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survlime: A method for explaining machine learning survival models

Reference 37

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Observation 87104e85-9f1f-4d6a-be26-7a62ab8468c9 · outbound

This paper cites Survshap (t): time-dependent explanations of machine learning survival models.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survshap (t): time-dependent explanations of machine learning survival models

Reference 38

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Observation 57340e2c-c76f-4aa1-aa6a-04582ecbb529 · outbound

This paper cites havakv/pycox: Survival analysis with pytorch.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression havakv/pycox: Survival analysis with pytorch

Reference 39

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Observation 1b22bb79-46c2-4438-b864-f0d5a86f4377 · outbound

This paper cites Time-to-event prediction with neural networks and cox regression.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Time-to-event prediction with neural networks and cox regression

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.191404Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb4ede44-33b6-418b-8165-17f80b1bbb9f · outbound

This paper cites Deephit: A deep learning approach to survival analysis with competing risks.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Deephit: A deep learning approach to survival analysis with competing risks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.179359Z

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Observation 8d8780e3-f8d1-4fe5-bc07-f3ffe77f5e76 · outbound

This paper cites Temporal quilting for survival analysis.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Temporal quilting for survival analysis

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 16093756-adda-4b47-8619-a06c9603b963 · outbound

This paper cites Spatio-temporally smoothed deep survival neural network.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Spatio-temporally smoothed deep survival neural network

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.155754Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4515702b-3a99-405e-b1cb-6c3fa3d1cc6f · outbound

This paper cites A ccurate I ntelligible M odels w ith P airwise I nteractions.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression A ccurate I ntelligible M odels w ith P airwise I nteractions

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.144163Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 848500e2-f888-4b49-8de0-68bb3f6e0780 · outbound

This paper cites On the importance of interpretable machine learning predictions to inform clinical decision making in oncology.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression On the importance of interpretable machine learning predictions to inform clinical decision making in oncology

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.131103Z

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Observation f10d91e8-a4b1-4e0b-9341-5400c2bfe065 · outbound

This paper cites A unified approach to interpreting model predictions.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression A unified approach to interpreting model predictions

Reference 46

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Source-reported events for the cited work

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Observation d3d64181-f230-4dd9-ae2e-68d16ba7f314 · outbound

This paper cites Asynchronous methods for deep reinforcement learning.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Asynchronous methods for deep reinforcement learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.112101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6498de95-f7bd-4ab8-922a-e6db966a91e4 · outbound

This paper cites Combined survival analysis of prospective clinical trials of gefitinib for non--small cell lung cancer with egfr mutations.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Combined survival analysis of prospective clinical trials of gefitinib for non--small cell lung cancer with egfr mutations

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.099965Z

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Observation 4afa8e2f-a78a-45f7-ac3e-c2b75d3bb9f9 · outbound

This paper cites Modern hierarchical, agglomerative clustering algorithms.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Modern hierarchical, agglomerative clustering algorithms

Reference 49

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Source-reported events for the cited work

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Observation afc10faf-ad46-4a18-84c1-7b1a8a0ac196 · outbound

This paper cites Deep survival machines: Fully parametric survival regression and representation learning for censored data with competing risks.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Deep survival machines: Fully parametric survival regression and representation learning for censored data with competing risks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.087465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1eb6f891-8abd-4964-88a5-ed1b4d217760 · outbound

This paper cites Deep cox mixtures for survival regression.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Deep cox mixtures for survival regression

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.075679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3dad199a-4ac1-4dd2-be1b-745ce2aa0ca2 · outbound

This paper cites Counterfactual phenotyping with censored time-to-events.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Counterfactual phenotyping with censored time-to-events

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.062033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ac788d38-9624-40d2-ad1c-7d19c32fd726 · outbound

This paper cites Hazard plotting for incomplete failure data.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Hazard plotting for incomplete failure data

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.048312Z

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Observation 943d3c6d-c0f0-4045-a8f9-37072eba3495 · outbound

This paper cites Using ehrs and machine learning for heart failure survival analysis.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Using ehrs and machine learning for heart failure survival analysis

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.035609Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82fc8fa7-0f80-4a13-89d3-f19c3471220d · outbound

This paper cites Extending the Neural Additive Model for Survival Analysis with EHR Data.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Extending the Neural Additive Model for Survival Analysis with EHR Data

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-15T16:19:57.801667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5f103214-3ad0-4c64-995f-5240bd7e0606 · outbound

This paper cites Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.023203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ab3a4b92-410c-432f-9671-72c7b0cc09b5 · outbound

This paper cites An Effective Meaningful Way to Evaluate Survival Models.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression An Effective Meaningful Way to Evaluate Survival Models

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-15T16:19:57.782407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 09387cc5-04d4-4562-b76b-0a0c20c1a7f1 · outbound

This paper cites The effect of concurvity in generalized additive models linking mortality to ambient particulate matter.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression The effect of concurvity in generalized additive models linking mortality to ambient particulate matter

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:58.010125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1b3da23c-f551-4e35-877a-cd40d8dceb98 · outbound

This paper cites Survival regression with proper scoring rules and monotonic neural networks.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survival regression with proper scoring rules and monotonic neural networks

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:57.998390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b43ba6b4-dc12-4b55-a73a-01e05cc0cbac · outbound

This paper cites Clinical decision support in the era of artificial intelligence.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Clinical decision support in the era of artificial intelligence

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T16:19:57.703090Z

Source-reported events for the cited work

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Observation f25024d9-577d-46eb-a23d-992f82cfe461 · outbound

This paper cites Curve your enthusiasm: concurvity regularization in differentiable generalized additive models.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Curve your enthusiasm: concurvity regularization in differentiable generalized additive models

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:57.979633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6ba82e37-eb1c-4046-8407-2f33c3307e48 · outbound

This paper cites Survival analysis in clinical trials: Basics and must know areas.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survival analysis in clinical trials: Basics and must know areas

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:57.967382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 25093b00-db16-40dd-b07d-e377be1714c2 · outbound

This paper cites Association of body temperature and mortality in critically ill patients: an observational study using two large databases.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Association of body temperature and mortality in critically ill patients: an observational study using two large databases

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:57.954837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd8838fb-3217-4985-bd5d-65c5c3c5209d · outbound

This paper cites All points matter: entropy-regularized distribution alignment for weakly-supervised 3d segmentation.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression All points matter: entropy-regularized distribution alignment for weakly-supervised 3d segmentation

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:57.942076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 59ca99ef-f6d8-4049-8300-7b719085d23a · outbound

This paper cites What clinicians want: contextualizing explainable machine learning for clinical end use.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression What clinicians want: contextualizing explainable machine learning for clinical end use

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T16:19:57.721460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d041d64e-dd47-450d-83e0-49bd40e2b435 · outbound

This paper cites On the c-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression On the c-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T16:19:57.725532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb679669-57c8-4ba3-a35e-76fc70fa3977 · outbound

This paper cites Survnam: The machine learning survival model explanation.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survnam: The machine learning survival model explanation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:57.918033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation def8ec9e-cdbb-4eb3-8f2f-70e0999513f8 · outbound

This paper cites Survival prediction in terminal cancer patients: a systematic review of the medical literature.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survival prediction in terminal cancer patients: a systematic review of the medical literature

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:57.906491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8df30b46-ed7c-470f-9ca7-8f1132b495b4 · outbound

This paper cites Scipy 1.0: fundamental algorithms for scientific computing in python.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Scipy 1.0: fundamental algorithms for scientific computing in python

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T16:19:57.737271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06667455-4910-4612-9e91-7beced68e385 · outbound

This paper cites Survtrace: Transformers for survival analysis with competing events.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Survtrace: Transformers for survival analysis with competing events

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:57.888484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a43ebd77-5e96-4045-9c42-0983513b507f · outbound

This paper cites Coxnam: An interpretable deep survival analysis model.

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Coxnam: An interpretable deep survival analysis model

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:19:57.876601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Reference resolution

Outbound references

Pith citing papers