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Predicting outcomes at the individual patient level: what is the best method?

Qiang LiuEdoardo Giuseppe OstinelliFranco De CrescenzoZhenpeng LiAnneka TomlinsonGeorgia SalantiAndrea CiprianiOrestis Efthimiou
Published in: BMJ mental health (2023)
The end-to-end and the similarity-based model yielded comparable performance. Due to its simplicity, the end-to-end approach can be favoured when using demographic and clinical data to build prediction models on pharmacological treatments for depression.
Keyphrases
  • depressive symptoms
  • adipose tissue
  • machine learning
  • sleep quality