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Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework.

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作者单位: The Center for Health AI and Synthesis of Evidence (CHASE), Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA 19104, United States.;Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA 19104, United States. [1] The Center for Health AI and Synthesis of Evidence (CHASE), Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA 19104, United States.;Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA 19104, United States.;Applied Mathematics and Computational Science, The University of Pennsylvania, Philadelphia, PA 19104, United States. [2] The Center for Health AI and Synthesis of Evidence (CHASE), Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA 19104, United States.;Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA 19104, United States.;Washington University in St. Louis, St. Louis, MO 63130, United States. [3] Department of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32611, United States. [4] Division of Public Health Sciences, Department of Surgery, Washington University in St. Louis, St. Louis, MO 63110, United States. [5] Biostatistics Division, Merck & Co., Inc., Rahway, NJ 07065, United States. [6] Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States. [7] Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States. [8] Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN 55414, United States. [9] Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA 18015, United States. [10] School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85287, United States. [11] Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.;Department of Computer Science, Vanderbilt University, Nashville, TN 37212, United States.;Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37203, United States. [12] Division of General Internal Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.;Leonard Davis Institute of Health Economics, Philadelphia, PA 19104, United States. [13] The Center for Health AI and Synthesis of Evidence (CHASE), Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA 19104, United States.;Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA 19104, United States.;Applied Mathematics and Computational Science, The University of Pennsylvania, Philadelphia, PA 19104, United States.;Leonard Davis Institute of Health Economics, Philadelphia, PA 19104, United States. [14]
DOI 10.1093/jamia/ocae075
PMID 38713006
发布时间 2024-09-06
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Journal of the American Medical Informatics Association : JAMIA

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