Open AccessUtilizing electronic health record data to understand comorbidity burden among people living with HIV: a machine learning approach
Author(s) -
Xueying Yang,
Jiajia Zhang,
Shujie Chen,
Sharon Weissman,
Bankole Olatosi,
Xiaoming Li
Publication year - 2021
Publication title -
aids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.195
H-Index - 216
eISSN - 1473-5571
pISSN - 0269-9370
DOI - 10.1097/qad.0000000000002736
Subject(s) - comorbidity , medicine , logistic regression , population , environmental health
An understanding of the predictors of comorbidity among people living with HIV (PLWH) is critical for effective HIV care management. In this study, we identified predictors of comorbidity burden among PLWH based on machine learning models with electronic health record (EHR) data.