A machine learning evaluation of patient characteristics associated with prescribing of guideline-directed medical therapy for heart failure

A machine learning evaluation of patient characteristics associated with prescribing of guideline-directed medical therapy for heart failure

Introduction/backgroundPatients with heart failure and reduced ejection fraction (HFrEF) are consistently underprescribed guideline-directed medications. Although many barriers to prescribing are known, identification of these barriers has relied on traditional a priori hypotheses or qualitative met...

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Bibliographic Details
Main Authors: Rachel Kim, Krithika Suresh, Michael A. Rosenberg, Malinda S. Tan, Daniel C. Malone, Larry A. Allen, David P. Kao, Heather D. Anderson, Premanand Tiwari, Katy E. Trinkley
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
heart failure
electronic health record
machine learning
population health
prescribing
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1169574/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2023.1169574/full

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