Development and validation of data-driven, decision tree-based algorithms for identifying Behçet's disease in claims data.
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| Title: | Development and validation of data-driven, decision tree-based algorithms for identifying Behçet's disease in claims data. |
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| Authors: | Sada KE; Department of Clinical Epidemiology, Kochi Medical School, Nankoku, Japan. Electronic address: sadak@kochi-u.ac.jp., Miyawaki Y; Department of Nephrology, Rheumatology, Endocrinology, and Metabolism, Okayama University, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan., Yanai R; Division of Rheumatology, Department of Medicine, Showa Medical University School of Medicine, Tokyo, Japan., Kida T; Inflammation and Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan., Onishi A; Department of Advanced Medicine for Rheumatic Diseases, Graduate School of Medicine, Kyoto University, Kyoto, Japan., Yoshimi R; Department of Stem Cell and Immune Regulation, Yokohama City University Graduate School of Medicine, Yokohama, Japan; Clinical Laboratory Department, Yokohama City University Hospital, Yokohama, Japan., Ichinose K; Department of Rheumatology, Shimane University Faculty of Medicine, Izumo, Japan., Shimojima Y; Department of Medicine (Neurology and Rheumatology), Shinshu University School of Medicine, Matsumoto, Japan. |
| Source: | International journal of medical informatics [Int J Med Inform] 2026 Apr 01; Vol. 209, pp. 106266. Date of Electronic Publication: 2026 Jan 05. |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 9711057 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8243 (Electronic) Linking ISSN: 13865056 NLM ISO Abbreviation: Int J Med Inform Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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