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Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks., , and . CoRR, (2015)The Impact of Extraneous Variables on the Performance of Recurrent Neural Network Models in Clinical Tasks., , , , , and . CoRR, (2019)DRTED: Deep learning Recommendation of Treatment from Electronic Data., , , , and . AMIA, AMIA, (2016)An informatics architecture for the Virtual Pediatric Intensive Care Unit., , , , , , , , , and 1 other author(s). CBMS, page 1-6. IEEE Computer Society, (2011)The Dependence of Machine Learning on Electronic Medical Record Quality., , , and . AMIA, AMIA, (2017)Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series., , and . MLHC, volume 56 of JMLR Workshop and Conference Proceedings, page 253-270. JMLR.org, (2016)The impact of extraneous features on the performance of recurrent neural network models in clinical tasks., , , , , and . J. Biomed. Informatics, (2020)Marked Point Process for Severity of Illness Assessment., , , and . MLHC, volume 68 of Proceedings of Machine Learning Research, page 255-270. PMLR, (2017)Interpreting a Recurrent Neural Network Model for ICU Mortality Using Learned Binary Masks., , , and . CoRR, (2019)Unsupervised pattern discovery in electronic health care data using probabilistic clustering models., , , and . IHI, page 389-398. ACM, (2012)