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Screening for Depression in Daily Life: Development and External Validation of a Prediction Model Based on Actigraphy and Experience Sampling Method.

Olga MinaevaHarriëtte RieseFemke LamersNiki AntypaMarieke WichersSanne H Booij
Published in: Journal of medical Internet research (2020)
ESM is a good diagnostic predictor and is easy to calculate, and it therefore holds promise for implementation in clinical practice. Actigraphy shows no added value to ESM as a diagnostic predictor but might still be useful when ESM use is restricted.
Keyphrases
  • clinical practice
  • primary care
  • healthcare
  • depressive symptoms
  • physical activity
  • big data
  • artificial intelligence
  • deep learning