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Paper Details

Simulating complex patient populations with hierarchical learning effects to support methods development for post-market surveillance.
BMC Med Res Methodol
0
2023
patient, patients
Algorithms, Computer Simulation, Deep Learning, Humans
Author NameAffiliation
Sharon E DavisVanderbilt University Medical Center
Henry SsemagandaComparative Effectiveness Research Institute, Lahey Hospital and Medical Center
Jejo KoolaUniversity of California San Diego
Jialin Mao
Dax WestermanVanderbilt University Medical Center
Theodore SperoffVanderbilt University Medical Center
Usha GovindarajuluCenter for Biostatistics, Icahn School of Medicine at Mount Sinai
Craig R RamsayHealth Services Research Unit, University of Aberdeen
Art Sedrakyan
Lucila Ohno-MachadoYale School of Medicine, 100 College Street
Lucila Ohno-MachadoYale School of Medicine, 100 College Street
Frederic S ResnicDivision of Cardiovascular Medicine and Comparative Effectiveness Research Institute, Lahey Hospital and Medical Center, Tufts University School of Medicine
Michael MathenyVanderbilt University Medical Center
Michael MathenyGeriatric Research Education and Clinical Care Center, Tennessee Valley Healthcare System VA
Michael E MathenyVanderbilt University Medical Center
Michael E MathenyGeriatric Research Education and Clinical Care Center, Tennessee Valley Healthcare System VA
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Release 1.2