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Paper Details

Information Extraction From Electronic Health Records to Predict Readmission Following Acute Myocardial Infarction: Does Natural Language Processing Using Clinical Notes Improve Prediction of Readmission?
J Am Heart Assoc
3
2022
Acute Myocardial Infarction, Patients, acute myocardial infarction, patients
Aged, Electronic Health Records, Humans, Information Storage and Retrieval, Medicare, Myocardial Infarction, Natural Language Processing, Patient Readmission, Retrospective Studies, United States
Author NameAffiliation
Jeremiah R BrownDepartments of Epidemiology and Biomedical Data Science Dartmouth Geisel School of Medicine Hanover NH.
Iben M RicketDepartments of Epidemiology and Biomedical Data Science Dartmouth Geisel School of Medicine Hanover NH.
Ruth M ReevesDepartment of Biomedical Informatics Vanderbilt University Medical Center Nashville TN.
Ruth M ReevesGeriatric Research Education and Clinical Care Center Tennessee Valley Healthcare System VA Nashville TN.
Rashmee U ShahDivision of Cardiovascular Medicine University of Utah School of Medicine Salt Lake City UT.
Christine A GoodrichDepartments of Epidemiology and Biomedical Data Science Dartmouth Geisel School of Medicine Hanover NH.
Glenn T GobbelDepartment of Biomedical Informatics Vanderbilt University Medical Center Nashville TN.
Glenn T GobbelGeriatric Research Education and Clinical Care Center Tennessee Valley Healthcare System VA Nashville TN.
Glenn T GobbelDepartment of Biostatistics Vanderbilt University Medical Center Nashville TN.
Glenn T GobbelDivision of General Internal Medicine Vanderbilt University Medical Center Nashville TN.
Meagan E StablerDepartments of Epidemiology and Biomedical Data Science Dartmouth Geisel School of Medicine Hanover NH.
Amy M PerkinsGeriatric Research Education and Clinical Care Center Tennessee Valley Healthcare System VA Nashville TN.
Amy M PerkinsDepartment of Biostatistics Vanderbilt University Medical Center Nashville TN.
Freneka MinterDepartment of Biomedical Informatics Vanderbilt University Medical Center Nashville TN.
Kevin C CoxDepartments of Epidemiology and Biomedical Data Science Dartmouth Geisel School of Medicine Hanover NH.
Chad DornDepartment of Biomedical Informatics Vanderbilt University Medical Center Nashville TN.
Jason DentonDepartment of Biomedical Informatics Vanderbilt University Medical Center Nashville TN.
Bruce E BrayDivision of General Internal Medicine Vanderbilt University Medical Center Nashville TN.
Bruce E BrayDepartment of Biomedical Informatics University of Utah School of Medicine Salt Lake City UT.
Ramkiran GouripeddiDepartment of Biomedical Informatics University of Utah School of Medicine Salt Lake City UT.
Ramkiran GouripeddiUtah Clinical & Translational Science InstituteUniversity of Utah Salt Lake City UT.
John HigginsDepartments of Epidemiology and Biomedical Data Science Dartmouth Geisel School of Medicine Hanover NH.
Wendy W ChapmanCentre for Digital Transformation of Health University of Melbourne Melbourne Victoria Australia.
Todd A MacKenzieDepartments of Epidemiology and Biomedical Data Science Dartmouth Geisel School of Medicine Hanover NH.
Michael MathenyDepartment of Biomedical Informatics Vanderbilt University Medical Center Nashville TN.
Michael MathenyGeriatric Research Education and Clinical Care Center Tennessee Valley Healthcare System VA Nashville TN.
Michael MathenyDepartment of Biostatistics Vanderbilt University Medical Center Nashville TN.
Michael MathenyDivision of General Internal Medicine Vanderbilt University Medical Center Nashville TN.
Michael E MathenyDepartment of Biomedical Informatics Vanderbilt University Medical Center Nashville TN.
Michael E MathenyGeriatric Research Education and Clinical Care Center Tennessee Valley Healthcare System VA Nashville TN.
Michael E MathenyDepartment of Biostatistics Vanderbilt University Medical Center Nashville TN.
Michael E MathenyDivision of General Internal Medicine Vanderbilt University Medical Center Nashville TN.
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