Predicting ankylosing spondylitis disease activity via patient-reported outcome measures: Building prediction models based on machine learning.
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| Title: | Predicting ankylosing spondylitis disease activity via patient-reported outcome measures: Building prediction models based on machine learning. |
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| Authors: | Gong Y; Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China., Liu A; The School of Information Science and Technology, Beijing University of Technology, Beijing, China., Zhuo L; The School of Information Science and Technology, Beijing University of Technology, Beijing, China., Xu X; The School of Information Science and Technology, Beijing University of Technology, Beijing, China., Liu H; Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China. |
| Source: | PloS one [PLoS One] 2026 Jul 15; Vol. 21 (7), pp. e0353486. Date of Electronic Publication: 2026 Jul 15 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0353486 |
