The ENACT network is acting on housing instability and the unhoused using the open health natural language processing toolkit.

Authors :: Harris DR
Fu S
Wen A
Corbeau A
Henderson D
Hilsman J
Oniani D
Wang Y
Source :: Journal of clinical and translational science [J Clin Transl Sci] 2024 May 16; Vol. 8 (1), pp. e98. Date of Electronic Publication: 2024 May 16 (Print Publication: 2024).
Publication Year :: 2024
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).<br />Competing Interests: None.<br /> (© The Author(s) 2024.)

Full Text Access

Tools