Sex-Specific Patterns of Mortality Predictors Among Patients Undergoing Cardiac Resynchronization Therapy: A Machine Learning Approach.

Tokodi, Márton; Behon, Anett; Merkel, Eperke Dóra; Kovács, Attila; Tosér, Zoltán; Sárkány, András; Csákvári, Máté; Lakatos, Bálint Károly; Schwertner, Walter Richard; Kosztin, Annamária; Merkely, Béla

Tokodi, Márton; Behon, Anett; Merkel, Eperke Dóra; Kovács, Attila; Tosér, Zoltán; Sárkány, András; Csákvári, Máté; Lakatos, Bálint Károly; Schwertner, Walter Richard; Kosztin, Annamária; Merkely, Béla.

Afiliação

Tokodi M; Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Behon A; Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Merkel ED; Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Kovács A; Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Tosér Z; Argus Cognitive, Inc., Lebanon, NH, United States.
Sárkány A; Argus Cognitive, Inc., Lebanon, NH, United States.
Csákvári M; Argus Cognitive, Inc., Lebanon, NH, United States.
Lakatos BK; Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Schwertner WR; Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Kosztin A; Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Merkely B; Heart and Vascular Center, Semmelweis University, Budapest, Hungary.

Front Cardiovasc Med ; 8: 611055, 2021.

Article em En | MEDLINE | ID: mdl-33718444

Palavras-chave

cardiac resynchronization therapy; heart failure; machine learning; mortality prediction; sex differences

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Cardiovasc Med Ano de publicação: 2021 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google