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A machine learning evaluation of patient characteristics associated with prescribing of guideline-directed medical therapy for heart failure.
Kim, Rachel; Suresh, Krithika; Rosenberg, Michael A; Tan, Malinda S; Malone, Daniel C; Allen, Larry A; Kao, David P; Anderson, Heather D; Tiwari, Premanand; Trinkley, Katy E.
Afiliación
  • Kim R; School of Medicine, University of Colorado Medical Campus, Aurora, CO, United States.
  • Suresh K; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, United States.
  • Rosenberg MA; School of Medicine, University of Colorado Medical Campus, Aurora, CO, United States.
  • Tan MS; Department of Pharmacotherapy, University of Utah, Salt Lake City, UT, United States.
  • Malone DC; Department of Pharmacotherapy, University of Utah, Salt Lake City, UT, United States.
  • Allen LA; School of Medicine, University of Colorado Medical Campus, Aurora, CO, United States.
  • Kao DP; Adult and Child Consortium for Outcomes Research and Delivery Science (ACCORDS), University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
  • Anderson HD; School of Medicine, University of Colorado Medical Campus, Aurora, CO, United States.
  • Tiwari P; Department of Clinical Informatics, UCHealth, Aurora, CO, United States.
  • Trinkley KE; Department of Clinical Pharmacy, University of Colorado Anschutz Medical Campus Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, CO, United States.
Front Cardiovasc Med ; 10: 1169574, 2023.
Article en En | MEDLINE | ID: mdl-37416920
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Evaluation_studies / Guideline / Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: Front Cardiovasc Med Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Evaluation_studies / Guideline / Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: Front Cardiovasc Med Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza