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

Journals

  1. Lee K, Chien T, Yeh Y, Chou W, Wang H. An online time-to-event dashboard comparing the effective control of COVID-19 among continents using the inflection point on an ogive curve. Medicine 2021;100(10):e24749 View
  2. Wang L, Chien T, Chou W. Using the IPcase Index with Inflection Points and the Corresponding Case Numbers to Identify the Impact Hit by COVID-19 in China: An Observation Study. International Journal of Environmental Research and Public Health 2021;18(4):1994 View
  3. Chou P, Chien T, Yang T, Yeh Y, Chou W, Yeh C. Predicting Active NBA Players Most Likely to Be Inducted into the Basketball Hall of Famers Using Artificial Neural Networks in Microsoft Excel: Development and Usability Study. International Journal of Environmental Research and Public Health 2021;18(8):4256 View
  4. Tey S, Liu C, Chien T, Hsu C, Chan K, Chen C, Cheng T, Wu W. Predicting the 14-Day Hospital Readmission of Patients with Pneumonia Using Artificial Neural Networks (ANN). International Journal of Environmental Research and Public Health 2021;18(10):5110 View
  5. Lin J, Chien T, Wang L, Chou W. An artificial neural network model to predict the mortality of COVID-19 patients using routine blood samples at the time of hospital admission. Medicine 2021;100(28):e26532 View
  6. Pan Y, Froese F. An interdisciplinary review of AI and HRM: Challenges and future directions. Human Resource Management Review 2023;33(1):100924 View
  7. Ho S, Chien T, Lin M, Tsai K. An app for predicting patient dementia classes using convolutional neural networks (CNN) and artificial neural networks (ANN): Comparison of prediction accuracy in Microsoft Excel. Medicine 2023;102(4):e32670 View
  8. Chuang H, Chien T, Chou W, Wang C, Tsai K. Comparison of prediction accuracies between two mathematical models for the assessment of COVID-19 damage at the early stage and throughout 2020. Medicine 2022;101(32):e29718 View
  9. Ho S, Chien T, Shao Y, Hsieh J. Visualizing the features of inflection point shown on a temporal bar graph using the data of COVID-19 pandemic. Medicine 2022;101(5):e28749 View
  10. Hsu C, Chien T, Yan Y. An application for classifying perceptions on my health bank in Taiwan using convolutional neural networks and web-based computerized adaptive testing. Medicine 2021;100(52):e28457 View
  11. Lin C, Chien T, Chen Y, Lee Y, Su S. An app to classify a 5-year survival in patients with breast cancer using the convolutional neural networks (CNN) in Microsoft Excel. Medicine 2022;101(4):e28697 View
  12. Chen H, Chien T, Chen L, Yeh Y, Ma S, Lee H. An app for predicting nurse intention to quit the job using artificial neural networks (ANNs) in Microsoft Excel. Medicine 2022;101(11) View
  13. Burrows H, Zarrin J, Babu-Saheer L, Maktab-Dar-Oghaz M. Realtime Emotional Reflective User Interface Based on Deep Convolutional Neural Networks and Generative Adversarial Networks. Electronics 2021;11(1):118 View
  14. Zhang Z, Cao N. Evaluation of Physical Education Teaching Quality Based on the Random Multivariate Matrix Convolution Neural Network Model. Mathematical Problems in Engineering 2022;2022:1 View
  15. Hu T, Chow J, Chien T, Chou W. Detecting dengue fever in children using online Rasch analysis to develop algorithms for parents: An APP development and usability study. Medicine 2023;102(13):e33296 View