Published on in Vol 8, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16747, first published .
An App for Detecting Bullying of Nurses Using Convolutional Neural Networks and Web-Based Computerized Adaptive Testing: Development and Usability Study

An App for Detecting Bullying of Nurses Using Convolutional Neural Networks and Web-Based Computerized Adaptive Testing: Development and Usability Study

An App for Detecting Bullying of Nurses Using Convolutional Neural Networks and Web-Based Computerized Adaptive Testing: Development and Usability Study

Shu-Ching Ma   1, 2 * , PhD ;   Willy Chou   3, 4 * , MD ;   Tsair-Wei Chien   5 * , MBA ;   Julie Chi Chow   6, 7 , MD ;   Yu-Tsen Yeh   8 , BA ;   Po-Hsin Chou   9, 10 , MD ;   Huan-Fang Lee   11 * , PhD

1 Department of Nursing, Chi Mei Medical Center, Tainan, Taiwan

2 College of Humanities and Social Science, Southern Taiwan University of Science and Technology, Tainan, Taiwan

3 Department of Physical Medicine and Rehabilitation, Chi Mei Medical Center, Tainan, Taiwan

4 Department of Physical Medicine and Rehabilitation, Chung Shan Medical University, Taichun, Taiwan

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

6 Department of Pediatrics, Chi-Mei Medical Center, Tainan, Taiwan

7 Department of Pediatrics, Taipei Medical University, Chi Mei Medical Groups, Taipei, Taiwan

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

9 School of Medicine, National Yang-Ming University, Taipei, Taiwan

10 Department of Orthopedics and Traumatology, Taipei Veterans General Hospital, Taipei, Taiwan

11 Department of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan

*these authors contributed equally

Corresponding Author:

  • Huan-Fang Lee, PhD
  • Department of Nursing
  • College of Medicine
  • National Cheng Kung University
  • No. 988, Chung Hwa Road, Yung Kung Dist., Tainan 710, Taiwan
  • Tainan, 710
  • Taiwan
  • Phone: 886 +8862812811
  • Email: Eamonn0330@gmail.com