Using patient self-reports to study heterogeneity of treatment effects in major depressive disorder

Backgrounds. Clinicians need guidance to address the heterogeneity of treatment responses of patients with major depressive disorder (MDD). While prediction schemes based on symptom clustering and biomarkers have so far not yielded results of sufficient strength to inform clinical decision-making, prediction schemes based on big data predictive analytic models might be more practically useful. Method. We review evidence suggesting that...