Your browser doesn't support javascript.
loading
Applying a Smartwatch to Predict Work-related Fatigue for Emergency Healthcare Professionals: Machine Learning Method.
Liu, Sot Shih-Hung; Ma, Cheng-Jiun; Chou, Fan-Ya; Cheng, Michelle Yuan-Chiao; Wang, Chih-Hung; Tsai, Chu-Lin; Duh, Wei-Jou; Huang, Chien-Hua; Lai, Feipei; Lu, Tsung-Chien.
Affiliation
  • Liu SS; National Taiwan University Hospital, Department of Emergency Medicine, Taipei, Taiwan.
  • Ma CJ; National Taiwan University, Graduate Institute of Biomedical Electronics and Bioinformatics, Taipei, Taiwan.
  • Chou FY; MOST Joint Research Center for AI Technology and All VISTA Healthcare (AINTU), Taipei, Taiwan.
  • Cheng MY; National Taiwan University Hospital, Department of Emergency Medicine, Taipei, Taiwan.
  • Wang CH; National Taiwan University, Department of Emergency Medicine, College of Medicine, Taipei, Taiwan.
  • Tsai CL; MOST Joint Research Center for AI Technology and All VISTA Healthcare (AINTU), Taipei, Taiwan.
  • Duh WJ; National Taiwan University Hospital, Department of Emergency Medicine, Taipei, Taiwan.
  • Huang CH; National Taiwan University, Department of Emergency Medicine, College of Medicine, Taipei, Taiwan.
  • Lai F; National Taiwan University Hospital, Department of Emergency Medicine, Taipei, Taiwan.
  • Lu TC; National Taiwan University, Department of Emergency Medicine, College of Medicine, Taipei, Taiwan.
West J Emerg Med ; 24(4): 693-702, 2023 Jul 07.
Article in En | MEDLINE | ID: mdl-37527373
Subject(s)
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Emergency Service, Hospital / Machine Learning Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Year: 2023 Type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Emergency Service, Hospital / Machine Learning Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Year: 2023 Type: Article