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Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks., , and . CoRR, (2015)Predicting High-Flow Nasal Cannula Failure in an ICU Using a Recurrent Neural Network with Transfer Learning and Input Data Perseveration: A Retrospective Analysis., , , and . CoRR, (2021)Improving Recurrent Neural Network Responsiveness to Acute Clinical Events., , , and . IEEE Access, (2021)Predicting Individual Responses to Vasoactive Medications in Children with Septic Shock., , , , , , and . CoRR, (2019)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)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)Narrowing the gap: expected versus deployment performance., , , , and . J. Am. Medical Informatics Assoc., 30 (9): 1474-1485 (August 2023)Predicting individual physiologically acceptable states at discharge from a pediatric intensive care unit., , , , and . J. Am. Medical Informatics Assoc., 25 (12): 1600-1607 (2018)