Machine Learning in CRT Outcomes: Implementing the Right Tool for the Right Outcome.

Eckhardt, Lee L; Kalscheur, Matthew M

Eckhardt, Lee L; Kalscheur, Matthew M.

Afiliação

Eckhardt LL; Department of Medicine, Division of Cardiovascular Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA; Cellular and Molecular Arrhythmia Research Program, University of Wisconsin-Madison, Madison, Wisconsin, USA. Electronic address: lle@medicine.wisc.edu.
Kalscheur MM; Department of Medicine, Division of Cardiovascular Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA; Section of Cardiovascular Medicine, William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin, USA.

JACC Clin Electrophysiol ; 7(12): 1516-1518, 2021 12.

Article em En | MEDLINE | ID: mdl-34949420

Assuntos

Terapia de Ressincronização Cardíaca; Humanos; Aprendizado de Máquina

Palavras-chave

cardiac resynchronization therapy; machine learning; shared decision-making

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Terapia de Ressincronização Cardíaca Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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