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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.
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
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  Data: <searchLink fieldCode="AU" term="%22Zhang+Y%22">Zhang Y</searchLink>; Department of Pharmacy, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, Sichuan, China.<br /><searchLink fieldCode="AU" term="%22Feng+S%22">Feng S</searchLink>; Department of Public Health, Nanchong Mental Health Center of Sichuan Province, Nanchong, Sichuan, China.<br /><searchLink fieldCode="AU" term="%22Zhang+Y%22">Zhang Y</searchLink>; Department of Pharmacy, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, Sichuan, China. zyonglin2021@163.com.<br /><searchLink fieldCode="AU" term="%22Luo+J%22">Luo J</searchLink>; School of Basic Medical Sciences, Southwest Medical University, Luzhou, 646000, Sichuan, China. ljs@swmu.edu.cn.
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  Data: <searchLink fieldCode="JN" term="%228206885%22">Rheumatology international</searchLink> [Rheumatol Int] 2026 Jul 16; Vol. 46 (8). <i>Date of Electronic Publication: </i>2026 Jul 16.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>8206885 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1437-160X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201728172%22">01728172 </searchLink><i>NLM ISO Abbreviation: </i>Rheumatol Int <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s00296-026-06255-5
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        Text: English
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      – TitleFull: 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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            NameFull: Zhang Y
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            NameFull: Feng S
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            NameFull: Zhang Y
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              Text: 2026 Jul 16
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              Y: 2026
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              Value: 46
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              Value: 8
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