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The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols.

, , , , , , , , and . Nat. Mac. Intell., 5 (8): 816-817 (August 2023)

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Racial Disparities and Mistrust in End-of-Life Care., , , , and . MLHC, volume 85 of Proceedings of Machine Learning Research, page 587-602. PMLR, (2018)S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning., , , , and . CoRR, (2020)The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols., , , , , , , , and . Nat. Mac. Intell., 5 (8): 816-817 (August 2023)Machine learning and health need better values., and . npj Digit. Medicine, (2022)Machine Learning for Health (ML4H) Workshop at NeurIPS 2018., , , , , , , , , and 8 other author(s). CoRR, (2018)Semi-Markov Offline Reinforcement Learning for Healthcare., , , , , , , and . CHIL, volume 174 of Proceedings of Machine Learning Research, page 119-137. PMLR, (2022)Multiple Sclerosis Severity Classification From Clinical Text., , , , , , , and . ClinicalNLP@EMNLP, page 7-23. Association for Computational Linguistics, (2020)In the Name of Fairness: Assessing the Bias in Clinical Record De-identification., , , and . FAccT, page 123-137. ACM, (2023)Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings., , , and . FAccT, page 723-734. ACM, (2021)The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations., , , , , and . FAccT, page 1194-1206. ACM, (2022)