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Academic Journal

Applying a Smartwatch to Predict Work-related Fatigue for Emergency Healthcare Professionals: Machine Learning Method.

  • Authors : Liu SS; National Taiwan University Hospital, Department of Emergency Medicine, Taipei, Taiwan.; National Taiwan University, Graduate Institute of Biomedical Electronics and Bioinformatics, Taipei, Taiwan.

Subjects: Emergency Service, Hospital* ; Machine Learning*; Female

  • Source: The western journal of emergency medicine [West J Emerg Med] 2023 Jul 07; Vol. 24 (4), pp. 693-702. Date of Electronic Publication: 2023 Jul 07.Publisher: Department of Emergency Medicine, University of California, Irvine Country of Publication: United States NLM ID: 101476450 Publication Model:

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Academic Journal

Innovative machine learning approach and evaluation campaign for predicting the subjective feeling of work-life balance among employees.

Subjects: Emotions* ; Machine Learning* ; Work-Life Balance*

  • Source: PloS one [PLoS One] 2020 May 15; Vol. 15 (5), pp. e0232771. Date of Electronic Publication: 2020 May 15 (Print Publication: 2020).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Successful incorporation of single reviewer assessments during systematic review screening: development and validation of sensitivity and work-saved of an algorithm that considers exclusion criteria and count.

  • Authors : Nama N; Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.; Pediatrics, BC Children's Hospital, Vancouver, BC, Canada.

Subjects: Algorithms* ; Machine Learning* ; Systematic Reviews as Topic*

  • Source: Systematic reviews [Syst Rev] 2021 Apr 05; Vol. 10 (1), pp. 98. Date of Electronic Publication: 2021 Apr 05.Publisher: BioMed Central Country of Publication: England NLM ID: 101580575 Publication Model: Electronic Cited Medium: Internet ISSN: 2046-4053

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