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Longitudinal Adversarial Attack on Electronic Health Records Data.

, , , and . WWW, page 2558-2564. ACM, (2019)

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TASTE: temporal and static tensor factorization for phenotyping electronic health records., , , , , , , and . CHIL, page 193-203. ACM, (2020)Causal Regularization., , , , , and . CoRR, (2017)LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity., , , , and . KDD, page 1315-1324. ACM, (2017)MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare., , , and . NeurIPS, page 4552-4562. (2018)SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping., , , , , , , and . KDD, page 2080-2089. ACM, (2018)EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders., , , , , and . CoRR, (2020)Imputation of missing values for electronic health record laboratory data., , , , , , , , , and 2 other author(s). npj Digit. Medicine, (2021)GRAM: Graph-based Attention Model for Healthcare Representation Learning., , , , and . KDD, page 787-795. ACM, (2017)Doctor AI: Predicting Clinical Events via Recurrent Neural Networks., , , , and . MLHC, volume 56 of JMLR Workshop and Conference Proceedings, page 301-318. JMLR.org, (2016)Using recurrent neural network models for early detection of heart failure onset., , , and . J. Am. Medical Informatics Assoc., 24 (2): 361-370 (2017)