Discovering disease-disease associations using electronic health records in The Guideline Advantage (TGA) dataset.

ABSTRACT: Certain diseases have strong comorbidity and co-occurrence with others. Understanding disease-disease associations can potentially increase awareness among healthcare providers of co-occurring conditions and facilitate earlier diagnosis, prevention and treatment of patients. In this study, we utilized the valuable and large The Guideline Advantage (TGA) longitudinal electronic health record dataset from 70 outpatient clinics across the United States to investigate potential disease-disease associations. Specifically, the most prevalent 50 disease diagnoses were manually identified from 165,732 unique patients. To investigate the co-occurrence or dependency associations among the 50 diseases, the categorical disease terms were first mapped into numerical vectors based on disease co-occurren

SUBMITTER: Guo A 

PROVIDER: S-EPMC8547216 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature