A Prediction Model of Incident Cardiovascular Disease in Patients with Sleep-Disordered Breathing.

Park, Jong-Uk; Urtnasan, Erdenebayar; Kim, Sang-Ha; Lee, Kyoung-Joung

Park, Jong-Uk; Urtnasan, Erdenebayar; Kim, Sang-Ha; Lee, Kyoung-Joung.

Afiliação

Park JU; Department of Artificial Intelligence, College of Medical Engineering, Konyang University, Daejeon 35365, Korea.
Urtnasan E; Artificial Intelligence Big Data Medical Center, Wonju College of Medicine, Yonsei University, Wonju 26426, Korea.
Kim SH; Department of Internal Medicine, Wonju College of Medicine, Yonsei University, Wonju 26426, Korea.
Lee KJ; Department of Biomedical Engineering, College of Software and Digital Healthcare Convergence, Yonsei University, Wonju 26493, Korea.

Diagnostics (Basel) ; 11(12)2021 Nov 26.

Article em En | MEDLINE | ID: mdl-34943449

Palavras-chave

CVD risk factor; artificial intelligence (AI); cardiovascular disease (CVD); electrocardiogram (ECG); sleep-disordered breathing (SDB)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2021 Tipo de documento: Article País de publicação: Suíça

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