Validation of Electronic Health Record Phenotyping of Bipolar Disorder Cases and Controls

2014158 citationsJournal Articlegreen Open Access

Authors

Víctor M. Castro · Center for Human Genetics

Jessica Minnier · Center for Human Genetics

Shawn N. Murphy · Center for Human Genetics

Isaac S. Kohane · Center for Human Genetics

Susanne Churchill · Center for Human Genetics

Vivian S. Gainer · Center for Human Genetics

Tianxi Cai

Abstract

Semiautomated mining of EHRs can be used to ascertain bipolar disorder patients and control subjects with high specificity and predictive value compared with diagnostic interviews. EHRs provide a powerful resource for high-throughput phenotyping for genetic and clinical research.

Topics & Keywords

Machine Learning in Healthcare Chronic Disease Management Strategies

UN Sustainable Development Goals

Quality Education

Publication Details

Published in: American Journal of Psychiatry

Volume 172, Issue 4, pp. 363-372

DOI: 10.1176/appi.ajp.2014.14030423

Field-Weighted Citation Impact: 15.34