Development and internal validation of an interpretable machine learning model using routine laboratory data for systemic sclerosis-associated pulmonary arterial hypertension.
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| Title: | Development and internal validation of an interpretable machine learning model using routine laboratory data for systemic sclerosis-associated pulmonary arterial hypertension. |
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| Authors: | Zhang Y; Department of Pharmacy, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, Sichuan, China., Feng S; Department of Public Health, Nanchong Mental Health Center of Sichuan Province, Nanchong, Sichuan, China., Zhang Y; Department of Pharmacy, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, Sichuan, China. zyonglin2021@163.com., Luo J; School of Basic Medical Sciences, Southwest Medical University, Luzhou, 646000, Sichuan, China. ljs@swmu.edu.cn. |
| Source: | Rheumatology international [Rheumatol Int] 2026 Jul 16; Vol. 46 (8). Date of Electronic Publication: 2026 Jul 16. |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 8206885 Publication Model: Electronic Cited Medium: Internet ISSN: 1437-160X (Electronic) Linking ISSN: 01728172 NLM ISO Abbreviation: Rheumatol Int Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1437-160X |
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| DOI: | 10.1007/s00296-026-06255-5 |
