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An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction., , and . CoRR, (2020)Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data., , , , , and . CoRR, (2020)Transfer learning to adapt predictive models for pediatric patients in the EHR., and . AMIA, AMIA, (2018)Counterfactual Reasoning for Fair Clinical Risk Prediction., , , and . MLHC, volume 106 of Proceedings of Machine Learning Research, page 325-358. PMLR, (2019)Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks., , , , , , , , , and 1 other author(s). J. Am. Medical Informatics Assoc., 30 (12): 2004-2011 (November 2023)Learning decision thresholds for risk stratification models from aggregate clinician behavior., , , and . J. Am. Medical Informatics Assoc., 28 (10): 2258-2264 (2021)Proxy Methods for Domain Adaptation., , , , , , , and . CoRR, (2024)Adapting to Latent Subgroup Shifts via Concepts and Proxies., , , , , , , , , and . CoRR, (2022)A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models., , , , , , , , , and 20 other author(s). CoRR, (2024)Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine., , , , , , , and . Appl. Clin. Inform., 12 (4): 808-815 (2021)