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Machine learning to improve analysis of disability in electronic health records: an untapped opportunity for health inequities research.

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Title: Machine learning to improve analysis of disability in electronic health records: an untapped opportunity for health inequities research.
Authors: Rotenberg S; International Centre for Evidence in Disability, London School of Hygiene and Tropical Medicine, London, UK. Electronic address: sara.rotenberg@lshtm.ac.uk., Mesinovic M; Department of Engineering Science, University of Oxford, Oxford, UK., Saloniki EC; Global Business School for Health, University College London (UCL), London, UK., Chen S; International Centre for Evidence in Disability, London School of Hygiene and Tropical Medicine, London, UK., Raine R; Department of Primary Care and Population Health, University College London (UCL), London, UK., Kuper H; International Centre for Evidence in Disability, London School of Hygiene and Tropical Medicine, London, UK.
Source: Disability and health journal [Disabil Health J] 2026 Apr; Vol. 19 (2), pp. 102017. Date of Electronic Publication: 2025 Dec 18.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 101306633 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1876-7583 (Electronic) Linking ISSN: 18767583 NLM ISO Abbreviation: Disabil Health J Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Rotenberg+S%22">Rotenberg S</searchLink>; International Centre for Evidence in Disability, London School of Hygiene and Tropical Medicine, London, UK. Electronic address: sara.rotenberg@lshtm.ac.uk.<br /><searchLink fieldCode="AU" term="%22Mesinovic+M%22">Mesinovic M</searchLink>; Department of Engineering Science, University of Oxford, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Saloniki+EC%22">Saloniki EC</searchLink>; Global Business School for Health, University College London (UCL), London, UK.<br /><searchLink fieldCode="AU" term="%22Chen+S%22">Chen S</searchLink>; International Centre for Evidence in Disability, London School of Hygiene and Tropical Medicine, London, UK.<br /><searchLink fieldCode="AU" term="%22Raine+R%22">Raine R</searchLink>; Department of Primary Care and Population Health, University College London (UCL), London, UK.<br /><searchLink fieldCode="AU" term="%22Kuper+H%22">Kuper H</searchLink>; International Centre for Evidence in Disability, London School of Hygiene and Tropical Medicine, London, UK.
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  Data: <searchLink fieldCode="JN" term="%22101306633%22">Disability and health journal</searchLink> [Disabil Health J] 2026 Apr; Vol. 19 (2), pp. 102017. <i>Date of Electronic Publication: </i>2025 Dec 18.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101306633 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1876-7583 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218767583%22">18767583 </searchLink><i>NLM ISO Abbreviation: </i>Disabil Health J <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.dhjo.2025.102017
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              Text: 2026 Apr
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