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Use of Machine Learning to Develop a Risk-Stratification Tool for Emergency Department Patients With Acute Heart Failure
Authors:Dana R Sax  Dustin G Mark  Jie Huang  Oleg Sofrygin  Jamal S Rana  Sean P Collins  Alan B Storrow  Dandan Liu  Mary E Reed
Institution:1. Department of Emergency Medicine, The Permanente Medical Group, Oakland, CA;2. Department of Cardiology, The Permanente Medical Group, Oakland, CA;3. Division of Research, Kaiser Permanente Northern California, Oakland, CA;4. Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN;5. Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN;1. BerbeeWalsh Department of Emergency Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI;2. Department of Ophthalmology, University of Wisconsin School of Medicine and Public Health, Madison, WI;1. Department of Pediatrics, University of California, San Diego, La Jolla, CA;2. Department of Pediatrics, Division of Orthopedic Surgery, University of California, San Diego School of Medicine, La Jolla, CA;1. Emergency Department, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan;2. Division of Pulmonology and Critical Care, Department of Internal Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan;3. Division of Nephrology, Department of Internal Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan;4. School of Medicine, Tzu Chi University, Hualien, Taiwan
Abstract:
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