title: Predictive analytics in mental health: applications, guidelines, challenges and perspectives.
abstract: 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.
authors.affiliation: Department of Cognitive Psychology II, Goethe-University Frankfurt, Frankfurt am Main, Germany.
authors.forename: T
authors.initials: T
authors.lastname: Hahn
authors.affiliation: Bipolar Clinic and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.|Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
authors.forename: A A
authors.initials: AA
authors.lastname: Nierenberg
authors.affiliation: McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
authors.forename: S
authors.initials: S
authors.lastname: Whitfield-Gabrieli
mesh_terms: D005544:Forecasting / Q000379:methods*; D006801:Humans; D008603:Mental Health; D057285:Precision Medicine / Q000523:psychology* / Q000706:statistics & numerical data / Q000639:trends; D011570:Psychiatry / Q000379:methods* / Q000706:statistics & numerical data