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A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning-Based Approach.

Md Sabbir AhmedNova Ahmed
Published in: JMIR formative research (2023)
Due to our system's fast and minimalistic nature, it may make a worthwhile contribution to identifying depression in underdeveloped and developing regions. In addition, our detailed discussion about the implication of our findings can facilitate the development of less resource-intensive systems to better understand students who are depressed and take steps for intervention.
Keyphrases
  • machine learning
  • depressive symptoms
  • randomized controlled trial
  • sleep quality
  • artificial intelligence
  • big data