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SynthEHR-eviction: enhancing eviction SDoH detection with LLM-augmented synthetic EHR data.

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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, Bedford, MA, USA.; Manning College of Information and Computer Sciences, Umass Amherst, Amherst, MA, USA., Zhao Y; Manning College of Information and Computer Sciences, Umass Amherst, Amherst, MA, USA., Mitra A; Center for Healthcare Organization and Implementation Research, VA Bedford Health Care, Bedford, MA, USA.; Manning College of Information and Computer Sciences, Umass Amherst, 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, Bedford, 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, Bedford, MA, USA. Hong_Yu@uml.edu.; Manning College of Information and Computer Sciences, Umass Amherst, Amherst, MA, USA. Hong_Yu@uml.edu.; Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA. Hong_Yu@uml.edu.; Miner School of Computer and Information Sciences, UMass Lowell, Lowell, MA, USA. Hong_Yu@uml.edu.
Source: NPJ digital medicine [NPJ Digit Med] 2026 Feb 27; Vol. 9 (1). Date of Electronic Publication: 2026 Feb 27.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Yao+Z%22">Yao Z</searchLink>; Center for Healthcare Organization and Implementation Research, VA Bedford Health Care, Bedford, MA, USA.; Manning College of Information and Computer Sciences, Umass Amherst, Amherst, MA, USA.<br /><searchLink fieldCode="AU" term="%22Zhao+Y%22">Zhao Y</searchLink>; Manning College of Information and Computer Sciences, Umass Amherst, Amherst, MA, USA.<br /><searchLink fieldCode="AU" term="%22Mitra+A%22">Mitra A</searchLink>; Center for Healthcare Organization and Implementation Research, VA Bedford Health Care, Bedford, MA, USA.; Manning College of Information and Computer Sciences, Umass Amherst, Amherst, MA, USA.<br /><searchLink fieldCode="AU" term="%22Levy+DA%22">Levy DA</searchLink>; Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA.<br /><searchLink fieldCode="AU" term="%22Druhl+E%22">Druhl E</searchLink>; Center for Healthcare Organization and Implementation Research, VA Bedford Health Care, Bedford, MA, USA.<br /><searchLink fieldCode="AU" term="%22Tsai+J%22">Tsai J</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Yu+H%22">Yu H</searchLink>; Center for Healthcare Organization and Implementation Research, VA Bedford Health Care, Bedford, MA, USA. Hong_Yu@uml.edu.; Manning College of Information and Computer Sciences, Umass Amherst, Amherst, MA, USA. Hong_Yu@uml.edu.; Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA. Hong_Yu@uml.edu.; Miner School of Computer and Information Sciences, UMass Lowell, Lowell, MA, USA. Hong_Yu@uml.edu.
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      – TitleFull: SynthEHR-eviction: enhancing eviction SDoH detection with LLM-augmented synthetic EHR data.
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              Text: 2026 Feb 27
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