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Do no harm: a roadmap for responsible machine learning for health care, , , , , , , , , and 3 other author(s). Nature Medicine, 25 (9): 1337--1340 (2019)Accelerating health system innovation: principles and practices from the Duke Institute for Health Innovation., , , , , and . Patterns, 4 (4): 100710 (April 2023)Barriers to Achieving Economies of Scale in Analysis of EHR Data., , and . Appl. Clin. Inform., 08 (03): 826-831 (2017)Impact of diagnosis code grouping method on clinical prediction model performance: A multi-site retrospective observational study., , , , , , and . Int. J. Medical Informatics, (2021)"The human body is a black box": supporting clinical decision-making with deep learning., , , , , , , , and . FAT*, page 99-109. ACM, (2020)Looking for clinician involvement under the wrong lamp post: The need for collaboration measures., , , , , , and . J. Am. Medical Informatics Assoc., 28 (11): 2541-2542 (2021)An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection., , , , , , , and . MLHC, volume 68 of Proceedings of Machine Learning Research, page 243-254. PMLR, (2017)Enabling collaborative governance of medical AI., , , and . Nat. Mac. Intell., 5 (8): 821-823 (August 2023)Scalable Joint Modeling of Longitudinal and Point Process Data for Disease Trajectory Prediction and Improving Management of Chronic Kidney Disease., , , and . UAI, AUAI Press, (2016)Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data., , , and . MLHC, volume 56 of JMLR Workshop and Conference Proceedings, page 42-54. JMLR.org, (2016)