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A framework for understanding label leakage in machine learning for health care., , , and . J. Am. Medical Informatics Assoc., 31 (1): 274-280 (December 2023)Using a Multilayer Self-Organizing Map for Risk Prediction in Hepatorenal Syndrome., , , and . CRI, AMIA, (2016)Calibration Drift Among Regression and Machine Learning Models for Hospital Mortality., , , and . AMIA, AMIA, (2017)A Surveillance Framework for Monitoring and Updating Clinical Prediction Models., , , , and . AMIA, AMIA, (2020)Health Literacy, Education Levels, and Patient Portal Usage During Hospitalizations., , , , and . AMIA, AMIA, (2015)Comparison of Prediction Model Performance Updating Protocols: Using a Data-Driven Testing Procedure to Guide Updating., , , , and . AMIA, AMIA, (2019)Open questions and research gaps for monitoring and updating AI-enabled tools in clinical settings., , and . Frontiers Digit. Health, (2022)Calibration drift in regression and machine learning models for acute kidney injury., , , , and . J. Am. Medical Informatics Assoc., 24 (6): 1052-1061 (2017)Development of an automated phenotyping algorithm for hepatorenal syndrome., , , , , , , and . J. Biomed. Informatics, (2018)Use of a Patient Portal During Hospital Admissions to Surgical Services., , , and . AMIA, AMIA, (2016)