Predicting major organ complications in primary Sjögren's disease using a machine learning ensemble strategy: a dual-center retrospective clinical study.
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| Title: | Predicting major organ complications in primary Sjögren's disease using a machine learning ensemble strategy: a dual-center retrospective clinical study. |
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| Authors: | Xia W; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., Wu J; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., Zhang J; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., Kang Y; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., Chen Y; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., Liao R; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., Li X; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., Wen Y; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., Wen S; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., Meng F; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., Liu H; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., He Z; Smart Healthcare Research Institute, Xunfei Healthcare Technology Co, Ltd, Hefei, China., Gu J; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.; Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China., Jin O; Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China., Ren Y; Smart Healthcare Research Institute, Xunfei Healthcare Technology Co, Ltd, Hefei, China.; University of Electronic Science and Technology of China, Chengdu, China.; Pazhou Lab, Guangzhou, China., Lv Q; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China. |
| Source: | Frontiers in immunology [Front Immunol] 2026 May 29; Vol. 17, pp. 1845872. Date of Electronic Publication: 2026 May 29 (Print Publication: 2026). |
| Publication Type: | Journal Article; Multicenter Study |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-3224 |
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| DOI: | 10.3389/fimmu.2026.1845872 |
