The ENACT Network Is Acting on Housing Instability and the Unhoused Using the Open Health Natural Language Processing Toolkit

Authors

Daniel R Harris
Sunyang Fu
Andrew Wen
Alexandria Corbeau
Darren Henderson
Jordan Hilsman
David Oniani
Yanshan Wang

Language

English

Publication Date

1-1-2024

Journal

Journal of Clinical and Translational Science

DOI

10.1017/cts.2024.543

PMID

39655040

PMCID

PMC11626605

PubMedCentral® Posted Date

5-16-2024

PubMedCentral® Full Text Version

Post-print

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

Published Open-Access

yes

Recommended Citation

Harris, Daniel R; Fu, Sunyang; Wen, Andrew; et al., "The ENACT Network Is Acting on Housing Instability and the Unhoused Using the Open Health Natural Language Processing Toolkit" (2024). Faculty, Staff and Student Publications. 424.
https://digitalcommons.library.tmc.edu/uthshis_docs/424