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Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning.

, , , , , and . J. Am. Medical Informatics Assoc., 27 (12): 2024-2027 (2020)

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Volume-based Performance not Guaranteed by Promising Patch-based Results in Medical Imaging., , , and . ICBINB, volume 187 of Proceedings of Machine Learning Research, page 85-93. PMLR, (2022)What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use., , , and . MLHC, volume 106 of Proceedings of Machine Learning Research, page 359-380. PMLR, (2019)Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding., , and . ICLR, OpenReview.net, (2021)A Survey of Statistical Network Models. Foundations and Trends in Machine Learning, 2 (2): 129--233 (2009)What went wrong and when? Instance-wise Feature Importance for Time-series Models., , , and . CoRR, (2020)Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks., , , , , , , and . MLHC, volume 106 of Proceedings of Machine Learning Research, page 381-405. PMLR, (2019)Do no harm: a roadmap for responsible machine learning for health care, , , , , , , , , and 3 other author(s). Nature Medicine, 25 (9): 1337--1340 (2019)Forecasting Emergency Department Capacity Constraints for COVID Isolation Beds., , and . CoRR, (2020)Unsupervised detection of genes of influence in lung cancer using biological networks., , , , and . Bioinform., 27 (22): 3166-3172 (2011)A comprehensive EHR timeseries pre-training benchmark., , , , , , and . CHIL, page 257-278. ACM, (2021)