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Identification of Cohorts with Inflammatory Bowel Disease Amidst Fragmented Clinical Databases via Machine Learning.

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Title: Identification of Cohorts with Inflammatory Bowel Disease Amidst Fragmented Clinical Databases via Machine Learning.
Authors: Stammers M; University Hospital Southampton, Tremona Road, Southampton, SO16 6YD, UK. m.stammers@soton.ac.uk.; Southampton Emerging Therapies and Technologies (SETT) Centre, Southampton, SO16 6YD, UK. m.stammers@soton.ac.uk.; Clinical Informatics Research Unit (CIRU), Coxford Road, Southampton, SO16 5AF, UK. m.stammers@soton.ac.uk.; University of Southampton, Southampton, SO17 1BJ, UK. m.stammers@soton.ac.uk., Sartain S; University Hospital Southampton, Tremona Road, Southampton, SO16 6YD, UK.; University of Southampton, Southampton, SO17 1BJ, UK., Cummings JRF; University Hospital Southampton, Tremona Road, Southampton, SO16 6YD, UK.; University of Southampton, Southampton, SO17 1BJ, UK., Kipps C; University Hospital Southampton, Tremona Road, Southampton, SO16 6YD, UK.; Southampton Emerging Therapies and Technologies (SETT) Centre, Southampton, SO16 6YD, UK.; University of Southampton, Southampton, SO17 1BJ, UK., Nouraei R; Clinical Informatics Research Unit (CIRU), Coxford Road, Southampton, SO16 5AF, UK.; University of Southampton, Southampton, SO17 1BJ, UK.; ENT Department, Queen's Medical Centre, Nottingham, NG7 2UH, UK., Gwiggner M; University Hospital Southampton, Tremona Road, Southampton, SO16 6YD, UK.; University of Southampton, Southampton, SO17 1BJ, UK., Metcalf C; University of Southampton, Southampton, SO17 1BJ, UK.; School of Healthcare Enterprise and Innovation, University of Southampton, University of Southampton Science Park, Enterprise Road, Chilworth, Southampton, SO16 7NS, UK., Batchelor J; Clinical Informatics Research Unit (CIRU), Coxford Road, Southampton, SO16 5AF, UK.; University of Southampton, Southampton, SO17 1BJ, UK.
Source: Digestive diseases and sciences [Dig Dis Sci] 2025 Oct; Vol. 70 (10), pp. 3309-3322. Date of Electronic Publication: 2025 Aug 13.
Publication Type: Journal Article
Journal Info: Publisher: Springer Science + Business Media Country of Publication: United States NLM ID: 7902782 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2568 (Electronic) Linking ISSN: 01632116 NLM ISO Abbreviation: Dig Dis Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1573-2568
DOI:10.1007/s10620-025-09323-1