TY - JOUR
AU - 
AB - Biological Psychiatry: Review CNNI Beyond Lumping and Splitting: A Review of Computational Approaches for Stratifying Psychiatric Disorders Andre F. Marquand, Thomas Wolfers, Maarten Mennes, Jan Buitelaar, and Christian F. Beckmann ABSTRACT Heterogeneityisakeyfeatureofall psychiatricdisorders 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 concepts for stratifying psychiatric disorders and then provide a methodologically oriented and critical review of the existing literature. This shows that the predominant clustering approach that aims to subdivide clinical populations into more coherent subgroups has made a useful contribution but is heavily dependent on the type of data used; it has produced many different ways to subgroup the disorders we review, but for 
TI - Beyond Lumping and Splitting: A Review of Computational Approaches for Stratifying Psychiatric Disorders
JF - Biological Psychiatry Cognitive Neuroscience and Neuroimaging
DO - 10.1016/j.bpsc.2016.04.002
DA - 2016-09-01
UR - https://www.deepdyve.com/lp/unpaywall/beyond-lumping-and-splitting-a-review-of-computational-approaches-for-c7wXOEo4Db
DP - DeepDyve
ER -