Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension | Paper Citation Record

Observation 9fc07dbd-625c-4157-886b-316c4ea1bff4 · outbound

This paper cites Computa- tional medicine: Translating models to clinical care,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Computa- tional medicine: Translating models to clinical care,

Reference 1

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Observation 482208dd-2855-4ff1-ade0-4c73adaa3ac2 · outbound

This paper cites Ten things we have to do to achieve precision medicine,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Ten things we have to do to achieve precision medicine,

Reference 2

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Observation b46f9983-4c30-4dca-aa2c-d0f62a229d51 · outbound

This paper cites Biases introduced by ﬁltering electronic health records for patients with “complete data.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Biases introduced by ﬁltering electronic health records for patients with “complete data

Reference 3

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This paper cites Efﬁcacy of the indirect approach for estimating structural equation models with missing data: A comparison of ﬁve methods,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Efﬁcacy of the indirect approach for estimating structural equation models with missing data: A comparison of ﬁve methods,

Reference 4

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Observation bd5f69b0-b115-46c5-aa25-069eeb187243 · outbound

This paper cites Longitudinal and multi-group modeling with missing data,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Longitudinal and multi-group modeling with missing data,

Reference 5

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Observation 0f4ce724-126b-4db0-bc23-291446f68f6c · outbound

This paper cites Full information estimation in the presence of in- complete data,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Full information estimation in the presence of in- complete data,

Reference 6

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Observation d3c13a87-d816-455f-8261-10755822aa57 · outbound

This paper cites Comparison of imputation methods for missing laboratory data in medicine,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Comparison of imputation methods for missing laboratory data in medicine,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.634571Z

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Observation e255e24f-7353-4d82-9293-5ca63876ce73 · outbound

This paper cites mice: Multivariate imputation by chained equations in r,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension mice: Multivariate imputation by chained equations in r,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.622296Z

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Observation b7ecca26-daa1-43a7-87a9-672073bf46f1 · outbound

This paper cites Missing data analysis: Making it work in the real world,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Missing data analysis: Making it work in the real world,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.610426Z

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Observation 6832788e-7d66-425c-983c-86a07ace205b · outbound

This paper cites Missing data: Our view of the state of the art.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Missing data: Our view of the state of the art

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.595739Z

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Observation 198a9696-882b-4af1-a4ef-dc273572fbf8 · outbound

This paper cites Multiple imputations in sample surveys-a phenomeno- logical bayesian approach to nonresponse,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Multiple imputations in sample surveys-a phenomeno- logical bayesian approach to nonresponse,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.581514Z

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Observation a5459ce2-d822-4b29-b3c8-ea877e12f951 · outbound

This paper cites John Wiley & Sons, 1987.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension John Wiley & Sons, 1987

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.569193Z

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Observation b141d86b-5d0d-43e7-a977-3011a8b65dba · outbound

This paper cites an unresolved cited work.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Unresolved cited work

Reference 13

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Observation 17ed8d05-f0bc-44c8-a5fa-4a5be51c3b53 · outbound

This paper cites A multivariate technique for multiply imputing missing values using a sequence of regression models,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension A multivariate technique for multiply imputing missing values using a sequence of regression models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.539106Z

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Observation 47f9a166-c19a-42a8-85e7-7aeebf7c9d72 · outbound

This paper cites Van Buuren, Flexible imputation of missing data.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Van Buuren, Flexible imputation of missing data

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.526636Z

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Observation 2aa736bc-86c8-4dd5-8dc6-a72473d962d9 · outbound

This paper cites Fully conditional speciﬁcation in multivariate imputation,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Fully conditional speciﬁcation in multivariate imputation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.514836Z

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Observation ea65078a-ca7e-485b-a071-d346d42c2540 · outbound

This paper cites Multiple imputation for the comparison of two screening tests in two-phase alzheimer studies,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Multiple imputation for the comparison of two screening tests in two-phase alzheimer studies,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.502107Z

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Observation 9dc9b826-ebbd-4b81-87b5-240770fd6bdb · outbound

This paper cites A comparison of multiple imputation and fully augmented weighted estimators for cox regression with missing covariates,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension A comparison of multiple imputation and fully augmented weighted estimators for cox regression with missing covariates,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.490238Z

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Observation 3f9733c4-6d84-439f-8178-0306cf612370 · outbound

This paper cites Multiple imputation with diagnostics (mi) in r: Opening windows into the black box,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Multiple imputation with diagnostics (mi) in r: Opening windows into the black box,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.478860Z

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Observation b21b9213-b835-443b-878a-a2ee83eb535a · outbound

This paper cites Survival anal- ysis using auxiliary variables via non-parametric multiple imputation,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Survival anal- ysis using auxiliary variables via non-parametric multiple imputation,

Reference 20

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Observation aee6c7eb-698b-45e6-9f50-d8c9d05263b5 · outbound

This paper cites Doubly robust nonparametric multiple imputation for ignorable missing data,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Doubly robust nonparametric multiple imputation for ignorable missing data,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.455753Z

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Observation 25f09455-abac-4fab-a69f-7deb800dd88e · outbound

This paper cites Multiple imputation of missing blood pressure covariates in survival analysis,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Multiple imputation of missing blood pressure covariates in survival analysis,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.444460Z

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Observation c13a35bb-48d7-4f6d-b05b-3eddd02b435f · outbound

This paper cites Multiple imputation for general missing data patterns in the presence of high-dimensional data,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Multiple imputation for general missing data patterns in the presence of high-dimensional data,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.433358Z

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Observation bb2e9ec4-60b4-453b-be13-8f085c9d7ad8 · outbound

This paper cites Missforest—non-parametric missing value imputation for mixed-type data,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Missforest—non-parametric missing value imputation for mixed-type data,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.421742Z

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Observation 540abecb-c95c-42b7-b847-aece48a622ce · outbound

This paper cites Robust likelihood-based analysis of multivariate data with missing values,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Robust likelihood-based analysis of multivariate data with missing values,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.409597Z

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Observation 6823d79b-571c-4b74-b07e-10db066f644d · outbound

This paper cites Using machine learning to predict laboratory test results,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Using machine learning to predict laboratory test results,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.396511Z

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Observation 510e5440-aec5-428c-a64d-af74b5ad632b · outbound

This paper cites Extensions of the penalized spline of propensity prediction method of imputation,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Extensions of the penalized spline of propensity prediction method of imputation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.384061Z

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Observation d46a9183-a77a-4988-949e-14516400752a · outbound

This paper cites Missing value estimation methods for dna microarrays,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Missing value estimation methods for dna microarrays,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.372507Z

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Observation a16d74bc-3c00-49df-b683-beb7628fc5af · outbound

This paper cites A random-effects model for multiple characteristics with possibly missing data,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension A random-effects model for multiple characteristics with possibly missing data,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.360519Z

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Observation 5ebe68e9-0d11-492c-8b36-5b4873f0881a · outbound

This paper cites Multiple imputation and pos- terior simulation for multivariate missing data in longitudinal studies,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Multiple imputation and pos- terior simulation for multivariate missing data in longitudinal studies,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.347885Z

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Observation bde7a76c-b122-4b82-8f73-00920eda601a · outbound

This paper cites Computational strategies for multivariate linear mixed-effects models with missing values,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Computational strategies for multivariate linear mixed-effects models with missing values,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.334808Z

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Observation 0c84eb14-21f5-4c6f-8f26-a4a9c6fc43fc · outbound

This paper cites Marss: Multivariate autore- gressive state-space models for analyzing time-series data,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Marss: Multivariate autore- gressive state-space models for analyzing time-series data,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.323489Z

Source-reported events for the cited work

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Observation 52318d3d-74d9-4d7f-a589-2637a450ef6f · outbound

This paper cites Handling missing data in multivariate time se- ries using a vector autoregressive model-imputation (var-im) algorithm,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Handling missing data in multivariate time se- ries using a vector autoregressive model-imputation (var-im) algorithm,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.311979Z

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Observation 3b172ed8-5857-482f-baf2-5adad3b7f8da · outbound

This paper cites Learning to detect sepsis with a multitask gaussian process rnn classiﬁer,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Learning to detect sepsis with a multitask gaussian process rnn classiﬁer,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.300208Z

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Observation 34025778-9ff4-4efc-9e7f-57418858ed66 · outbound

This paper cites Multi-task gaussian process prediction,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Multi-task gaussian process prediction,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.288566Z

Source-reported events for the cited work

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Observation 6fab88b7-62f8-4072-bb56-3983396491c3 · outbound

This paper cites A functional multiple impu- tation approach to incomplete longitudinal data,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension A functional multiple impu- tation approach to incomplete longitudinal data,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.276841Z

Source-reported events for the cited work

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Observation 1e30da14-00df-4e69-9372-19caf058aa07 · outbound

This paper cites A functional data approach to missing value imputation and outlier detection for trafﬁc ﬂow data,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension A functional data approach to missing value imputation and outlier detection for trafﬁc ﬂow data,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.264822Z

Source-reported events for the cited work

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Observation 6d41dffd-2cea-433e-b093-09caffb9d2a3 · outbound

This paper cites A bayesian approach to functional mixed-effects modeling for longitudinal data with binomial outcomes,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension A bayesian approach to functional mixed-effects modeling for longitudinal data with binomial outcomes,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.253330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 65884c54-645d-45b3-97ce-dd2f0af1f40c · outbound

This paper cites Learning gaussian processes from multiple tasks,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Learning gaussian processes from multiple tasks,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.241463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9e0252c0-b56e-4a66-83df-9766bfa8ab71 · outbound

This paper cites Multi-task gaussian process for imputing missing data in multi-trait and multi-environment trials,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Multi-task gaussian process for imputing missing data in multi-trait and multi-environment trials,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.227728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 434b2c46-063e-43c9-8272-813a0f76cf9a · outbound

This paper cites 3d-mice: inte- gration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension 3d-mice: inte- gration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.214816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ef4d9f0a-4e58-47c6-92ca-06d9eb7c621f · outbound

This paper cites Mixtures of gaussian processes,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Mixtures of gaussian processes,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.201237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a72e7267-9d9d-454f-a717-1d680be9a32d · outbound

This paper cites Imputation through ﬁnite gaussian mixture models,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Imputation through ﬁnite gaussian mixture models,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.188124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 80859910-0b73-4e1d-9a31-91ac925eb602 · outbound

This paper cites Efficient EM Training of Gaussian Mixtures with Missing Data.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Efficient EM Training of Gaussian Mixtures with Missing Data

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:55:26.847424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f5532aaa-4f88-4915-b70e-959d7d1defff · outbound

This paper cites Missing value imputation based on gaussian mixture model for the internet of things,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Missing value imputation based on gaussian mixture model for the internet of things,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.176783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5751b21f-cdcb-41a3-b4f1-6e349a431fcb · outbound

This paper cites Multivariate data imputation using gaussian mixture models,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Multivariate data imputation using gaussian mixture models,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.164184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f9e645e9-b7f3-422a-a451-14b087272e33 · outbound

This paper cites Tucker factorization with missing data with application to low-n-rank tensor completion,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Tucker factorization with missing data with application to low-n-rank tensor completion,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.152139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1f7944df-2055-49aa-a615-e86bb8d3c0c4 · outbound

This paper cites Trace norm regularized candecomp/parafac decomposition with missing data,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Trace norm regularized candecomp/parafac decomposition with missing data,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.139696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a1e920e0-6767-45e5-90bf-179f2e7a6a10 · outbound

This paper cites Estimation of low-rank tensors via convex optimization.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Estimation of low-rank tensors via convex optimization

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-14T13:55:26.696913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1dc10b9-288a-4bdb-921f-da88eb7bef3b · outbound

This paper cites Fast multivariate spatio- temporal analysis via low rank tensor learning,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Fast multivariate spatio- temporal analysis via low rank tensor learning,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.126320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4e923b8f-1a3a-4194-9370-9aa878ff8a81 · outbound

This paper cites Accelerated online low-rank tensor learning for multivariate spatio-temporal streams,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Accelerated online low-rank tensor learning for multivariate spatio-temporal streams,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.113643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 898737fb-a287-4ed6-9f87-21f0fb274c7d · outbound

This paper cites Uncovering the spatio-temporal dynamics of memes in the presence of incomplete in- formation,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Uncovering the spatio-temporal dynamics of memes in the presence of incomplete in- formation,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.101200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 85b31083-714f-4558-873a-3954192645f2 · outbound

This paper cites Autoregressive tensor factor- ization for spatio-temporal predictions,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Autoregressive tensor factor- ization for spatio-temporal predictions,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.088742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4bbb6699-2d49-4a32-bccb-dcab96d4ae63 · outbound

This paper cites Facets: Fast comprehensive mining of coevolving high-order time series,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Facets: Fast comprehensive mining of coevolving high-order time series,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.076808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c5cbbfb9-e169-4a36-9815-1a17cfd4fce1 · outbound

This paper cites Time-aware subgroup matrix decom- position: Imputing missing data using forecasting events,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Time-aware subgroup matrix decom- position: Imputing missing data using forecasting events,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.063872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a7ef5273-67e1-40cb-8113-26a1bee10a9b · outbound

This paper cites Stochastic nonparametric event-tensor decomposi- tion,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Stochastic nonparametric event-tensor decomposi- tion,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.050356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a909d6f2-a74d-41ca-a5a4-4311593befd2 · outbound

This paper cites Recurrent neural networks for missing or asynchronous data,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Recurrent neural networks for missing or asynchronous data,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.038293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 16cd3169-6867-4898-8ff1-928707f35100 · outbound

This paper cites A solution for missing data in recurrent neural networks with an application to blood glucose prediction,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension A solution for missing data in recurrent neural networks with an application to blood glucose prediction,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.026514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2cceeb9f-96ca-458c-a51d-1ec740f76b90 · outbound

This paper cites Speech recognition with missing data using recurrent neural nets,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Speech recognition with missing data using recurrent neural nets,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:27.014851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b966505c-0eed-43ad-8285-9771d83773b4 · outbound

This paper cites Estimating missing data in temporal data streams using multi-directional recurrent neural networks,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Estimating missing data in temporal data streams using multi-directional recurrent neural networks,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-14T13:55:26.749183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88560d9b-cc0d-4228-a207-87198383d51f · outbound

This paper cites Doctor ai: Predicting clinical events via recurrent neural networks,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Doctor ai: Predicting clinical events via recurrent neural networks,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:26.995791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 104c0985-485f-4ab9-a1f2-4e8ce0e4f430 · outbound

This paper cites Directly modeling missing data in sequences with rnns: Improved classiﬁcation of clinical time series,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Directly modeling missing data in sequences with rnns: Improved classiﬁcation of clinical time series,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:26.984900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e76b6604-ab36-42db-af9f-d227ae340601 · outbound

This paper cites Recurrent neural networks for multivariate time series with missing values,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Recurrent neural networks for multivariate time series with missing values,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:26.973327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b7ade507-b254-4dfb-a23a-aa2165dfb5e1 · outbound

This paper cites Predicting icu readmission using grouped physiological and medication trends,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Predicting icu readmission using grouped physiological and medication trends,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:26.962307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2de21f9d-0ea6-424e-bd11-61b843e55b5a · outbound

This paper cites Parameterization and bayesian modeling,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Parameterization and bayesian modeling,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:26.950032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 330f2495-412d-42f6-97f6-2f720bfe4acb · outbound

This paper cites Mimic-iii, a freely accessible critical care database,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Mimic-iii, a freely accessible critical care database,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:26.938076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4bf26d2f-61fc-4a9b-a887-4ab135b210a8 · outbound

This paper cites A new simpliﬁed acute physiology score (saps ii) based on a european/north american multi- center study,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension A new simpliﬁed acute physiology score (saps ii) based on a european/north american multi- center study,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:26.925736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 95d67496-b037-4a10-9c74-2f06efee8450 · outbound

This paper cites Missing-data adjustments in large surveys,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Missing-data adjustments in large surveys,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:26.911302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 84b9fb54-898e-4c10-b374-c2f98a196483 · outbound

This paper cites Another look at measures of forecast accuracy,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Another look at measures of forecast accuracy,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:26.898461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d5c5d3b7-7300-476e-9a40-3cb7694d1c94 · outbound

This paper cites A note on the mean absolute scaled error,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension A note on the mean absolute scaled error,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:26.885610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ce4ff381-06e5-48b7-b75b-25d48e6275f0 · outbound

This paper cites Gpﬁt: An r package for ﬁtting a gaussian process model to deterministic simulator outputs,.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Gpﬁt: An r package for ﬁtting a gaussian process model to deterministic simulator outputs,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:55:26.873162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d70d98d6-026c-48da-8d47-74350acb0407 · outbound

This paper cites an unresolved cited work.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:55:26.860494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers