Machine Learning for Proteomic Risk Scores in Heart Failure.

Xu, Dongchu; Cunningham, Jonathan; Marti-Castellote, Pablo-Miki; Zhang, Luqing; Patel-Murray, Natasha L; Prescott, Margaret F; Chutkow, William; Mendelson, Michael M; Solomon, Scott D; Claggett, Brian L

Xu, Dongchu; Cunningham, Jonathan; Marti-Castellote, Pablo-Miki; Zhang, Luqing; Patel-Murray, Natasha L; Prescott, Margaret F; Chutkow, William; Mendelson, Michael M; Solomon, Scott D; Claggett, Brian L.

Afiliação

Xu D; Cardiovascular Division, Brigham and Women's Hospital, Boston, MA.
Cunningham J; Cardiovascular Division, Brigham and Women's Hospital, Boston, MA.
Marti-Castellote PM; Cardiovascular Division, Brigham and Women's Hospital, Boston, MA.
Zhang L; Novartis Institutes for Biomedical Research, Cambridge, MA.
Patel-Murray NL; Novartis Institutes for Biomedical Research, Cambridge, MA.
Prescott MF; Novartis, East Hanover, NJ.
Chutkow W; Novartis Institutes for Biomedical Research, Cambridge, MA.
Mendelson MM; Novartis Institutes for Biomedical Research, Cambridge, MA.
Solomon SD; Cardiovascular Division, Brigham and Women's Hospital, Boston, MA. Electronic address: ssolomon@rics.bwh.harvard.edu.
Claggett BL; Cardiovascular Division, Brigham and Women's Hospital, Boston, MA.

J Card Fail ; 29(11): 1583-1585, 2023 11.

Article em En | MEDLINE | ID: mdl-37722615

Assuntos

Insuficiência Cardíaca; Humanos; Insuficiência Cardíaca/diagnóstico; Proteômica; Aprendizado de Máquina; Fatores de Risco

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Insuficiência Cardíaca Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Card Fail Assunto da revista: CARDIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Marrocos

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