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Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks., , and . CoRR, (2015)Predicting Individual Responses to Vasoactive Medications in Children with Septic Shock., , , , , , and . CoRR, (2019)The Dependence of Machine Learning on Electronic Medical Record Quality., , , and . AMIA, AMIA, (2017)An informatics architecture for the Virtual Pediatric Intensive Care Unit., , , , , , , , , and 1 other author(s). CBMS, page 1-6. IEEE Computer Society, (2011)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)Dynamic Mortality Risk Predictions in Pediatric Critical Care Using Recurrent Neural Networks., , , , , , and . CoRR, (2017)Predicting Individual Physiologically Acceptable States for Discharge from a Pediatric Intensive Care Unit., , , , and . CoRR, (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)Learning to Diagnose with LSTM Recurrent Neural Networks., , , and . ICLR (Poster), (2016)