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

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

doi:10.1017/cts.2024.543

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

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

Research output: Contribution to journal › Article › peer-review

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).

Original language	English
Article number	e98
Journal	Journal of Clinical and Translational Science
Volume	8
Issue number	1
DOIs	https://doi.org/10.1017/cts.2024.543
State	Published - May 16 2024

Bibliographical note

Publisher Copyright:
© The Author(s), 2024.

Keywords

Housing instability
natural language processing
social determinants of health

ASJC Scopus subject areas

General Medicine

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1017/cts.2024.543

Cite this

@article{595ae3ee7a2c44039ec80f316ceb451a,

title = "The ENACT network is acting on housing instability and the unhoused using the open health natural language processing toolkit",

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",

author = "Harris, {Daniel R.} and Sunyang Fu and Andrew Wen and Alexandria Corbeau and Darren Henderson and Jordan Hilsman and David Oniani and Yanshan Wang",

note = "Publisher Copyright: {\textcopyright} The Author(s), 2024.",

year = "2024",

month = may,

day = "16",

doi = "10.1017/cts.2024.543",

language = "English",

volume = "8",

number = "1",

}

TY - JOUR

T1 - The ENACT network is acting on housing instability and the unhoused using the open health natural language processing toolkit

AU - Harris, Daniel R.

AU - Fu, Sunyang

AU - Wen, Andrew

AU - Corbeau, Alexandria

AU - Henderson, Darren

AU - Hilsman, Jordan

AU - Oniani, David

AU - Wang, Yanshan

PY - 2024/5/16

Y1 - 2024/5/16

N2 - 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).

AB - 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).

KW - Housing instability

KW - natural language processing

KW - social determinants of health

UR - http://www.scopus.com/inward/record.url?scp=85193810851&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85193810851&partnerID=8YFLogxK

U2 - 10.1017/cts.2024.543

DO - 10.1017/cts.2024.543

M3 - Article

AN - SCOPUS:85193810851

VL - 8

JO - Journal of Clinical and Translational Science

JF - Journal of Clinical and Translational Science

IS - 1

M1 - e98

ER -

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this