Beyond Lumping and Splitting: A Review of Computational Approaches for Stratifying Psychiatric Disorders.

ABSTRACT: Heterogeneity is a key feature of all psychiatric disorders that manifests on many levels, including symptoms, disease course, and biological underpinnings. These form a substantial barrier to understanding disease mechanisms and developing effective, personalized treatments. In response, many studies have aimed to stratify psychiatric disorders, aiming to find more consistent subgroups on the basis of many types of data. Such approaches have received renewed interest after recent research initiatives, such as the National Institute of Mental Health Research Domain Criteria and the European Roadmap for Mental Health Research, both of which emphasize finding stratifications that are based on biological systems and that cut across current classifications. We first introduce the basic concept

SUBMITTER: Marquand AF 

PROVIDER: S-EPMC5013873 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature