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Machine learning for emerging infectious disease field responses.
Chiu, Han-Yi Robert; Hwang, Chun-Kai; Chen, Shey-Ying; Shih, Fuh-Yuan; Han, Hsieh-Cheng; King, Chwan-Chuen; Gilbert, John Reuben; Fang, Cheng-Chung; Oyang, Yen-Jen.
Afiliação
  • Chiu HR; Department of Emergency Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University, No. 7 Chung Shan S. Road, Taipei, 100, Taiwan, ROC.
  • Hwang CK; Department of Computer Science and Information Engineering, National Taiwan University, Taipei, 106, Taiwan, ROC.
  • Chen SY; Department of Emergency Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University, No. 7 Chung Shan S. Road, Taipei, 100, Taiwan, ROC.
  • Shih FY; Department of Emergency Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University, No. 7 Chung Shan S. Road, Taipei, 100, Taiwan, ROC.
  • Han HC; National Taiwan University Cancer Center, National Taiwan University, Taipei, 106, Taiwan, ROC.
  • King CC; Research Center for Applied Sciences, Academia Sinica, Taipei, 115, Taiwan, ROC.
  • Gilbert JR; Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, 100, Taiwan, ROC.
  • Fang CC; Department of Computer Science and Information Engineering, National Taiwan University, Taipei, 106, Taiwan, ROC.
  • Oyang YJ; Department of Emergency Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University, No. 7 Chung Shan S. Road, Taipei, 100, Taiwan, ROC. conrad@ntu.edu.tw.
Sci Rep ; 12(1): 328, 2022 01 10.
Article em En | MEDLINE | ID: mdl-35013370
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Medicina Preventiva / Saúde Pública / Doenças Transmissíveis Emergentes / Aprendizado de Máquina / COVID-19 / Hospitalização Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Medicina Preventiva / Saúde Pública / Doenças Transmissíveis Emergentes / Aprendizado de Máquina / COVID-19 / Hospitalização Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article