Predictive analytics in mental health: applications, guidelines, challenges and perspectives

Mol Psychiatry. 2017 Jan;22(1):37-43. doi: 10.1038/mp.2016.201. Epub 2016 Nov 15.


The emerging field of 'predictive analytics in mental health' has recently generated tremendous interest with the bold promise to revolutionize clinical practice in psychiatry paralleling similar developments in personalized and precision medicine. Here, we provide an overview of the key questions and challenges in the field, aiming to (1) propose general guidelines for predictive analytics projects in psychiatry, (2) provide a conceptual introduction to core aspects of predictive modeling technology, and (3) foster a broad and informed discussion involving all stakeholders including researchers, clinicians, patients, funding bodies and policymakers.

Publication types

  • Review

MeSH terms

  • Forecasting / methods*
  • Humans
  • Mental Health
  • Precision Medicine / psychology*
  • Precision Medicine / statistics & numerical data
  • Precision Medicine / trends
  • Psychiatry / methods*
  • Psychiatry / statistics & numerical data