Recognition and linking of discontinuous named entities in healthcare: a comparative performance analysis.

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Bibliographic Details
Title: Recognition and linking of discontinuous named entities in healthcare: a comparative performance analysis.
Authors: Alhassan A; School of Computer Science, The University of Manchester, Manchester, United Kingdom.; Department of Management Information Systems, King Saud University, Riyadh, Saudi Arabia., Schlegel V; School of Computer Science, The University of Manchester, Manchester, United Kingdom.; Imperial Global Singapore, Imperial College London, Singapore, Singapore.; Department of Bioengineering, Imperial College London, London, United Kingdom., Cabral RC; School of Computer Science, The University of Sydney, Sydney, NSW, Australia., Batista-Navarro R; School of Computer Science, The University of Manchester, Manchester, United Kingdom., Han SC; School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia., Poon J; School of Computer Science, The University of Sydney, Sydney, NSW, Australia., Nenadic G; School of Computer Science, The University of Manchester, Manchester, United Kingdom.
Source: Frontiers in digital health [Front Digit Health] 2026 Jun 09; Vol. 8, pp. 1758921. Date of Electronic Publication: 2026 Jun 09 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101771889 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-253X (Electronic) Linking ISSN: 2673253X NLM ISO Abbreviation: Front Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2673-253X
DOI:10.3389/fdgth.2026.1758921