This paper is in the following e-collection/theme issue:

mHealth for Screening (194) Occupational Health and Ergonomics/Prevention at the Workplace (220) Machine Learning (1401) mHealth for Wellness, Behavior Change and Prevention (2754) Physician and Healthcare Worker Burnout (98)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17857, first published .
An App for Classifying Personal Mental Illness at Workplace Using Fit Statistics and Convolutional Neural Networks: Survey-Based Quantitative Study

An App for Classifying Personal Mental Illness at Workplace Using Fit Statistics and Convolutional Neural Networks: Survey-Based Quantitative Study

An App for Classifying Personal Mental Illness at Workplace Using Fit Statistics and Convolutional Neural Networks: Survey-Based Quantitative Study

Authors of this article:

Yu-Hua Yan1, 2 Author Orcid Image ;   Tsair-Wei Chien3 Author Orcid Image ;   Yu-Tsen Yeh4 Author Orcid Image ;   Willy Chou5, 6 Author Orcid Image ;   Shu-Chen Hsing7 Author Orcid Image
Article Authors Cited by (15) Tweetations (1) Metrics

Yu-Hua Yan   1, 2 * , PhD ;   Tsair-Wei Chien   3 * , MBA ;   Yu-Tsen Yeh   4 , BA ;   Willy Chou   5, 6 * , MD ;   Shu-Chen Hsing   7 * , MBA

1 Superintendent Office, Tainan Municipal Hospital (Managed by Show Chwan Medical Care Corporation), Tainan, Taiwan

2 Department of Hospital and Health Care Management, Chia Nan University of Pharmacy and Science, Tainan, Taiwan

3 Department of Medical Research, Chi Mei Medical Center, Tainan, Taiwan

4 Medical School, St George’s, University of London, London, United Kingdom

5 Department of Physical Medicine and Rehabilitation, Chung Shan Medical University, Taichung, Taiwan

6 Department of Physical Medicine and Rehabilitation, Chiali Chi Mei Hospital, Tainan, Taiwan

7 Respiratory Therapy Unit, Chi Mei Medical Center, Tainan, Taiwan

*these authors contributed equally

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