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

被引：71

作者：

Hahn, T. ^{[1
]}

Nierenberg, A. A. ^{[2
,3
,4
]}

Whitfield-Gabrieli, S. ^{[5
,6
]}

机构：

[1] Goethe Univ Frankfurt, Dept Cognit Psychol 2, Theodor W Adorno Pl 6, Frankfurt, Germany

[2] Massachusetts Gen Hosp, Dept Psychiat, Bipolar Clin, Boston, MA 02114 USA

[3] Massachusetts Gen Hosp, Dept Psychiat, Res Program, Boston, MA 02114 USA

[4] Massachusetts Gen Hosp, Dept Psychiat, Boston, MA 02114 USA

[5] MIT, McGovern Inst Brain Res, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[6] MIT, Dept Brain & Cognit Sci, E25-618, Cambridge, MA 02139 USA

来源：

MOLECULAR PSYCHIATRY | 2017年 / 22卷 / 01期

关键词：

QUALITY-OF-LIFE; DEPRESSIVE-DISORDERS; TREATMENT OUTCOMES; PSYCHIATRY; BIPOLAR; BURDEN; FAMILY; MECHANISMS; BIOMARKERS; THERAPY;

D O I：

10.1038/mp.2016.201

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：37 / 43

页数：7

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