Related Experiment Video
Updated: Jul 25, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Comprehensive Analysis of Electronic Health Records to Characterize The Association Between Intimate Partner Violence
Günnur Karakurt1,2, Serhan Yılmaz3, Meera Kumari1,2
1Department of Psychiatry, Case Western Reserve University, Cleveland, OH.
Abstract:
Intimate partner violence (IPV) involves physical, emotional, and sexual harm to the survivor. To characterize the relationship between mental health and IPV, we utilized electronic health records (EHR) data from IBM Explorys. Focusing on 15 mental health conditions and IPV, we queried cohorts of patients with these conditions to discover additional medical terms, including symptoms, findings, and diagnoses that are prevalent in these cohorts. We then systematically assessed the (i) direct association (co-occurrence, i.e., relative prevalence of a medical term in a cohort compared to the background population) and (ii) indirect association (the similarity between co-occurrence profiles) between all pairs of these mental health conditions. Our results showed that direct and indirect measures of association provide complementary insights into the relationship between pairs of conditions. Using this framework, we discovered several patterns of association among 16 different mental health related conditions.
More Related Videos
11:31Rapid Fractionation and Isolation of Whole Blood Components in Samples Obtained from a Community-based Setting
Published on: November 30, 2015
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Related Concept Videos
Methods of Documentation VII: EMR
Purpose of Health Records II
Relationship Formation
Purpose of Health Records I
Here's a breakdown of how health records serve these purposes:
Depressive Disorders: Etiology
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
Statistical Methods for Analyzing Epidemiological Data