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Paper Details

Analysis of Machine Learning Techniques for Heart Failure Readmissions.
Circ Cardiovasc Qual Outcomes
183
2016
Heart Failure, heart failure, patients
Author NameAffiliation
Bobak J Mortazaviand Robert Wood Johnson Foundation Clinical Scholars Program, Yale School of Medicine, Yale School of Public Health, CT Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, Yale University
Bobak J Mortazaviand Robert Wood Johnson Foundation Clinical Scholars Program, Yale School of Medicine, Yale School of Public Health, CT Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, Yale University
Nicholas S Downingand Robert Wood Johnson Foundation Clinical Scholars Program, Yale School of Medicine, Yale School of Public Health, CT Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, Yale University
Shu-Xia Liand Robert Wood Johnson Foundation Clinical Scholars Program, Yale School of Medicine, Yale School of Public Health, CT Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, Yale University
Harlan M Krumholzand Robert Wood Johnson Foundation Clinical Scholars Program, Yale School of Medicine, Yale School of Public Health, CT Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, Yale University
Harlan M Krumholzand Robert Wood Johnson Foundation Clinical Scholars Program, Yale School of Medicine, Yale School of Public Health, CT Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, Yale University
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