
Faculty, Staff and Student Publications
Publication Date
1-1-2024
Journal
Journal of Clinical and Translational Science
Abstract
Housing is an environmental social determinant of health that is linked to mortality and clinical outcomes. We developed a lexicon of housing-related concepts and rule-based natural language processing methods for identifying these housing-related concepts within clinical text. We piloted our methods on several test cohorts: a synthetic cohort generated by ChatGPT for initial infrastructure testing, a cohort with substance use disorders (SUD), and a cohort diagnosed with problems related to housing and economic circumstances (HEC). Our methods successfully identified housing concepts in our ChatGPT notes (recall = 1.0, precision = 1.0), our SUD population (recall = 0.9798, precision = 0.9898), and our HEC population (recall = N/A, precision = 0.9160).
Keywords
Housing instability, natural language processing, social determinants of health
DOI
10.1017/cts.2024.543
PMID
39655040
PMCID
PMC11626605
PubMedCentral® Posted Date
5-16-2024
PubMedCentral® Full Text Version
Post-print
Published Open-Access
yes
Included in
Bioinformatics Commons, Biomedical Informatics Commons, Data Science Commons, Mental and Social Health Commons, Translational Medical Research Commons