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Noninvasive Estimation of Hydration Status in Athletes Using Wearable Sensors and a Data-Driven Approach Based on Orthostatic Changes., , , , and . Sensors, 21 (13): 4469 (2021)Mind the Performance Gap: Examining Dataset Shift During Prospective Validation., , , , , , , , , and 1 other author(s). MLHC, volume 149 of Proceedings of Machine Learning Research, page 506-534. PMLR, (2021)A Hierarchical Approach to Multi-Event Survival Analysis., , and . AAAI, page 591-599. AAAI Press, (2021)Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure., , , , and . J. Am. Medical Informatics Assoc., 29 (6): 1060-1068 (2022)Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation., and . CoRR, (2023)Do no harm: a roadmap for responsible machine learning for health care, , , , , , , , , and 3 other author(s). Nature Medicine, 25 (9): 1337--1340 (2019)Leveraging an Alignment Set in Tackling Instance-Dependent Label Noise., and . CHIL, volume 209 of Proceedings of Machine Learning Research, page 477-497. PMLR, (2023)Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare., , , , and . NeurIPS, (2022)Deep Reinforcement Learning for Closed-Loop Blood Glucose Control., , , and . MLHC, volume 126 of Proceedings of Machine Learning Research, page 508-536. PMLR, (2020)Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings., and . MLHC, volume 149 of Proceedings of Machine Learning Research, page 2-35. PMLR, (2021)