A Machine Learning-Based Applied Prediction Model for Identification of Acute Coronary Syndrome (ACS) Outcomes and Mortality in Patients during the Hospital Stay.

Sherazi, Syed Waseem Abbas; Zheng, Huilin; Lee, Jong Yun

Sherazi, Syed Waseem Abbas; Zheng, Huilin; Lee, Jong Yun.

Afiliação

Sherazi SWA; Department of Computer Science, Chungbuk National University, Cheongju 28644, Chungbuk, Republic of Korea.
Zheng H; Department of Computer Science, Chungbuk National University, Cheongju 28644, Chungbuk, Republic of Korea.
Lee JY; Department of Computer Science, Chungbuk National University, Cheongju 28644, Chungbuk, Republic of Korea.

Sensors (Basel) ; 23(3)2023 Jan 25.

Article em En | MEDLINE | ID: mdl-36772390

Assuntos

Síndrome Coronariana Aguda; Humanos; Tempo de Internação; Síndrome Coronariana Aguda/diagnóstico; Prognóstico; Algoritmos; Aprendizado de Máquina

Palavras-chave

acute coronary syndrome; diagnosis and prognosis; imbalanced data; machine learning; predictive model; soft-voting ensemble classifier

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndrome Coronariana Aguda Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article

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