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

Yu-Hua YanTsair-Wei ChienYu-Tsen YehWilly ChouShu-Chen Hsing
Published in: JMIR mHealth and uHealth (2020)
The 44-item model with 108 parameters was estimated by using CNN to improve the accuracy of mental health for RTs. An MI app developed to help RTs self-detect work-related MI at an early stage should be made more available and viable in the future.
Keyphrases
  • mental illness
  • convolutional neural network
  • mental health
  • early stage
  • deep learning
  • high resolution
  • current status
  • cross sectional
  • machine learning
  • squamous cell carcinoma
  • mass spectrometry
  • rectal cancer