High Throughput Phenotyping for Dimensional Psychopathology in Electronic Health Records.

ABSTRACT:

Background

Relying on diagnostic categories of neuropsychiatric illness obscures the complexity of these disorders. Capturing multiple dimensional measures of neuropathology could facilitate the clinical and neurobiological investigation of cognitive and behavioral phenotypes.

Methods

We developed a natural language processing-based approach to extract five symptom dimensions, based on the National Institute of Mental Health Research Domain Criteria definitions, from narrative clinical notes. Estimates of Research Domain Criteria loading were derived from a cohort of 3619 individuals with 4623 hospital admissions. We applied this tool to a large corpus of psychiatric inpatient admission and discharge notes (2010-2015), and using the same cohort we examined face validity, pre

SUBMITTER: McCoy TH 

PROVIDER: S-EPMC5972065 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature