Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysis.

Mehri SajjadianRaymond W LamRoumen MilevSusan RotzingerBenicio N FreyClaudio N SoaresSagar V ParikhJane A FosterGustavo TureckiDaniel J MüllerStephen C StrotherFaranak FarzanSidney H KennedyRudolf Uher

Published in: Psychological medicine (2021)

The negative relationship between study quality and prediction accuracy, combined with a lack of independent replication, invites caution when evaluating the potential of machine learning applications for personalizing the treatment of depression.

Keyphrases

machine learning
depressive symptoms
artificial intelligence
sleep quality
big data
deep learning
combination therapy
climate change
physical activity