Identification of social determinants of health using multi-label classification of electronic health record clinical notes.

ABSTRACT:

Objectives

Social determinants of health (SDH), key contributors to health, are rarely systematically measured and collected in the electronic health record (EHR). We investigate how to leverage clinical notes using novel applications of multi-label learning (MLL) to classify SDH in mental health and substance use disorder patients who frequent the emergency department.

Methods and materials

We labeled a gold-standard corpus of EHR clinical note sentences (N = 4063) with 6 identified SDH-related domains recommended by the Institute of Medicine for inclusion in the EHR. We then trained 5 classification models: linear-Support Vector Machine, K-Nearest Neighbors, Random Forest, XGBoost, and bidirectional Long Short-Term Memory (BI-LSTM). We adopted 5 common evaluation me

SUBMITTER: Stemerman R 

PROVIDER: S-EPMC8423426 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature