Login / Signup

Predicting anxiety and depression over 12 months of the COVID-19 pandemic: A machine learning study.

Brooklynn BaileyDaniel R Strunk
Published in: Journal of clinical psychology (2023)
By considering many predictors, findings provide a more complete view than previous studies focused on specific predictors. Important predictors included psychological variables suggested by prior research and variables more specific to the pandemic context. We discuss how such findings can be used in understanding risk and planning interventions.
Keyphrases
  • machine learning
  • sars cov
  • coronavirus disease
  • physical activity
  • deep learning