SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data.

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Bibliographic Details
Title: SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data.
Authors: Yao Z; Center for Healthcare Organization and Implementation Research, VA Bedford Health Care, MA, USA.; Manning College of Information and Computer Sciences, UMass Amherst, MA, USA., Zhao Y; Manning College of Information and Computer Sciences, UMass Amherst, MA, USA., Mitra A; Center for Healthcare Organization and Implementation Research, VA Bedford Health Care, MA, USA.; Manning College of Information and Computer Sciences, UMass Amherst, MA, USA., Levy DA; Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA., Druhl E; Center for Healthcare Organization and Implementation Research, VA Bedford Health Care, MA, USA., Tsai J; National Center on Homelessness among Veterans, VA Homeless Programs Office, Washington, DC, USA.; School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA., Yu H; Center for Healthcare Organization and Implementation Research, VA Bedford Health Care, MA, USA.; Manning College of Information and Computer Sciences, UMass Amherst, MA, USA.; Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA.; Miner School of Computer and Information Sciences, UMass Lowell, MA, USA.
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2025 Jul 14. Date of Electronic Publication: 2025 Jul 14.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
DOI:10.1101/2025.07.10.25331237