A multi-criterion feature integration framework for accurate diagnosis of Sjögren’s disease using routine laboratory tests
Shu Liu, Guanhao Wu, Mengge Pan, Qi Sun, Chenjing Gao, Xianming Long, Chaogui Tang, Xinran Yuan, Lingyun Sun · 2025
Read A multi-criterion feature integration framework for accurate diagnosis of Sjögren’s disease using routine laboratory tests by Shu Liu, Guanhao Wu, Mengge Pan, Qi Sun, Chenjing Gao, Xianming Long, Chaogui Tang, Xinran Yuan, Lingyun Sun (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12660861.txt.
Description
A peer-reviewed research article from Europe PMC (2025). Sjögren’s disease (SjD) is a common systemic autoimmune disease that remains difficult to diagnose early due to non-specific symptoms and lack of definitive biomarkers. This multicentre retrospective cohort study analysed data from 34,958 patients across three hospitals in China to assess the diagnostic potential of routine laboratory tests and to develop a robust, low-cost artificial intelligence model, the Sjögren Multi-criterion Feature Integration Framework (SMFIF). This study is registered with ClinicalTrials.gov (NCT06982482).
Catalog record
| CREATOR | Shu Liu, Guanhao Wu, Mengge Pan, Qi Sun, Chenjing Gao, Xianming Long, Chaogui Tang, Xinran Yuan, Lingyun Sun |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 44 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |