Utilizing machine learning dimensionality reduction for risk stratification of chest pain patients in the emergency department.

Liu, Nan; Chee, Marcel Lucas; Koh, Zhi Xiong; Leow, Su Li; Ho, Andrew Fu Wah; Guo, Dagang; Ong, Marcus Eng Hock

Liu, Nan; Chee, Marcel Lucas; Koh, Zhi Xiong; Leow, Su Li; Ho, Andrew Fu Wah; Guo, Dagang; Ong, Marcus Eng Hock.

Afiliação

Liu N; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore. liu.nan@duke-nus.edu.sg.
Chee ML; Health Services Research Centre, Singapore Health Services, Singapore, Singapore. liu.nan@duke-nus.edu.sg.
Koh ZX; Institute of Data Science, National University of Singapore, Singapore, Singapore. liu.nan@duke-nus.edu.sg.
Leow SL; Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.
Ho AFW; Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore.
Guo D; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
Ong MEH; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.

BMC Med Res Methodol ; 21(1): 74, 2021 04 17.

Article em En | MEDLINE | ID: mdl-33865317

Assuntos

Dor no Peito; Serviço Hospitalar de Emergência; Adulto; Dor no Peito/diagnóstico; Feminino; Humanos; Aprendizado de Máquina; Masculino; Estudos Retrospectivos; Medição de Risco; Fatores de Risco; Singapura/epidemiologia; Adulto Jovem

Palavras-chave

Chest pain; Dimensionality reduction; Emergency department; Heart rate n-variability (HRnV); Heart rate variability (HRV); Machine learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male País/Região como assunto: Asia Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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