The COVIDTW study: Clinical predictors of COVID-19 mortality and a novel AI prognostic model using chest X-ray.

Wu, Chih-Wei; Pham, Bach-Tung; Wang, Jia-Ching; Wu, Yao-Kuang; Kuo, Chan-Yen; Hsu, Yi-Chiung

Wu, Chih-Wei; Pham, Bach-Tung; Wang, Jia-Ching; Wu, Yao-Kuang; Kuo, Chan-Yen; Hsu, Yi-Chiung.

Afiliação

Wu CW; Division of Pulmonary Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan; Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan.
Pham BT; Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan.
Wang JC; Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan.
Wu YK; Division of Pulmonary Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan.
Kuo CY; Department of Research, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan.
Hsu YC; Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan. Electronic address: syic@ncu.edu.tw.

J Formos Med Assoc ; 122(3): 267-275, 2023 Mar.

Article em En | MEDLINE | ID: mdl-36208973

Assuntos

COVID-19; Adulto; Humanos; Pandemias; Prognóstico; Estudos Retrospectivos; Raios X; Inteligência Artificial

Palavras-chave

Artificial intelligence; COVID-19; Chest X-rays; Intensive care unit; Mortality; Prognosis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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