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Paper Details

Development of Electronic Health Record-Based Prediction Models for 30-Day Readmission Risk Among Patients Hospitalized for Acute Myocardial Infarction.
JAMA Netw Open
15
2021
AMI, Acute Myocardial Infarction, Acute myocardial infarction, Participants, Patients, acute myocardial infarction, administrative, patients
Aged, Calibration, Electronic Health Records, Female, Hospitalization, Humans, Machine Learning, Male, Myocardial Infarction, Patient Readmission, Predictive Value of Tests, Retrospective Studies, United States
Author NameAffiliation
Michael MathenyVanderbilt University Medical Center
Michael E MathenyGeriatric Research Education and Clinical Care Center, Tennessee Valley Healthcare System VA
Michael E MathenyVanderbilt University Medical Center
Michael E MathenyVanderbilt University Medical Center
Michael E MathenyVanderbilt University Medical Center
Michael MathenyVanderbilt University Medical Center
Michael MathenyVanderbilt University Medical Center
Michael MathenyGeriatric Research Education and Clinical Care Center, Tennessee Valley Healthcare System VA
Iben RicketDartmouth Geisel School of Medicine
Christine A GoodrichDartmouth Geisel School of Medicine
Rashmee U ShahUniversity of Utah School of Medicine
Meagan E StablerDartmouth Geisel School of Medicine
Amy M PerkinsVanderbilt University Medical Center
Amy M PerkinsGeriatric Research Education and Clinical Care Center, Tennessee Valley Healthcare System VA
Chad DornVanderbilt University Medical Center
Jason DentonVanderbilt University Medical Center
Bruce E BrayUniversity of Utah School of Medicine
Bruce E BrayUniversity of Utah School of Medicine
Ramkiran GouripeddiUniversity of Utah School of Medicine
John HigginsDartmouth Geisel School of Medicine
Wendy W ChapmanUniversity of Utah School of Medicine
Wendy W ChapmanCentre for Clinical and Public Health Informatics, University of Melbourne
Todd A MacKenzieDartmouth Geisel School of Medicine
Jeremiah R BrownDartmouth Geisel School of Medicine
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Datasets

Release 1.2