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Machine Learning, Deep Learning, and Data Preprocessing Techniques for Detecting, Predicting, and Monitoring Stress and Stress-Related Mental Disorders: Scoping Review.

Moein RazaviSamira ZiyadideganAhmadreza MahmoudzadehSaber KazeminasabElaheh BaharloueiVahid JanfazaReza JahromiFarzan Sasangohar
Published in: JMIR mental health (2024)
The synthesis of this review identified significant research gaps and outlines future directions for the field. These encompass areas such as model interpretability, model personalization, the incorporation of naturalistic settings, and real-time processing capabilities for the detection and prediction of stress and stress-related MDs.
Keyphrases
  • machine learning
  • deep learning
  • stress induced
  • big data
  • artificial intelligence
  • convolutional neural network
  • drug induced
  • quantum dots
  • sensitive detection