Translating and evaluating historic phenotyping algorithms using SNOMED CT.

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Bibliographic Details
Title: Translating and evaluating historic phenotyping algorithms using SNOMED CT.
Authors: Elkheder M; Institute of Health Informatics, University College London, London, UK., Gonzalez-Izquierdo A; Institute of Health Informatics, University College London, London, UK.; Health Data Research UK, London, UK., Qummer Ul Arfeen M; Institute of Health Informatics, University College London, London, UK., Kuan V; Institute of Health Informatics, University College London, London, UK., Lumbers RT; Institute of Health Informatics, University College London, London, UK.; Barts Health NHS Trust, London, UK.; University College London Hospitals NHS Trust, London, UK., Denaxas S; Institute of Health Informatics, University College London, London, UK.; Health Data Research UK, London, UK.; British Heart Foundation Data Science Centre, London, UK., Shah AD; Institute of Health Informatics, University College London, London, UK.; University College London Hospitals NHS Trust, London, UK.
Source: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2023 Jan 18; Vol. 30 (2), pp. 222-232.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1527-974X
DOI:10.1093/jamia/ocac158