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Prediction of Mental Health Problem Using Annual Student Health Survey: Machine Learning Approach.

Ayako BabaKyosuke Bunji
Published in: JMIR mental health (2023)
These results demonstrate the possibility of predicting mental health across years using health survey data. Demographic and behavioral data, including answering time, were effective as well as self-rating items. This model demonstrates the possibility of synergistically using the characteristics of health surveys and advantages of ML. These findings can improve health survey items and calling criteria.
Keyphrases
  • mental health
  • machine learning
  • big data
  • electronic health record
  • mental illness
  • healthcare
  • public health
  • cross sectional
  • health information
  • social media