Application of a machine learning-driven, multibiomarker panel for prediction of incident cardiovascular events in patients with suspected myocardial infarction.

Neumann, Johannes T; Sörensen, Nils A; Zeller, Tanja; Magaret, Craig A; Barnes, Grady; Rhyne, Rhonda F; Peters, Celine; Goßling, Alina; Hartikainen, Tau S; Haller, Paul M; Lehmacher, Jonas; Schäfer, Sarina; Januzzi, James L; Westermann, Dirk

Neumann, Johannes T; Sörensen, Nils A; Zeller, Tanja; Magaret, Craig A; Barnes, Grady; Rhyne, Rhonda F; Peters, Celine; Goßling, Alina; Hartikainen, Tau S; Haller, Paul M; Lehmacher, Jonas; Schäfer, Sarina; Januzzi, James L; Westermann, Dirk.

Afiliação

Neumann JT; Department of Cardiology, University Heart & Vascular Center Hamburg, Hamburg, Germany.
Sörensen NA; German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany.
Zeller T; Department of Cardiology, University Heart & Vascular Center Hamburg, Hamburg, Germany.
Magaret CA; German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany.
Barnes G; Department of Cardiology, University Heart & Vascular Center Hamburg, Hamburg, Germany.
Rhyne RF; German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany.
Peters C; Prevencio, Inc., Kirkland, WA 98034, USA.
Goßling A; Prevencio, Inc., Kirkland, WA 98034, USA.
Hartikainen TS; Prevencio, Inc., Kirkland, WA 98034, USA.
Haller PM; Prevencio, Inc., Kirkland, WA 98034, USA.
Lehmacher J; Department of Cardiology, University Heart & Vascular Center Hamburg, Hamburg, Germany.
Schäfer S; Department of Cardiology, University Heart & Vascular Center Hamburg, Hamburg, Germany.
Januzzi JL; German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany.
Westermann D; Department of Cardiology, University Heart & Vascular Center Hamburg, Hamburg, Germany.

Biomark Med ; 14(9): 775-784, 2020 06.

Article em En | MEDLINE | ID: mdl-32462911

Assuntos

Aprendizado de Máquina; Infarto do Miocárdio/diagnóstico; Infarto do Miocárdio/metabolismo; Idoso; Biomarcadores/metabolismo; Feminino; Humanos; Masculino; Pessoa de Meia-Idade; Valor Preditivo dos Testes; Prognóstico; Medição de Risco

Palavras-chave

ACS; artificial intelligence; biomarkers; machine learning; major adverse cardiac events; myocardial infarction; noninvasive risk assessment; outcome; prediction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina / Infarto do Miocárdio Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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