Prediction of osteoporosis in patients with rheumatoid arthritis using machine learning

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Prediction of osteoporosis in patients with rheumatoid arthritis using machine learning ; volume:13 ; number:1 ; day:9 ; month:12 ; year:2023 ; pages:1-8 ; date:12.2023
Scientific reports ; 13, Heft 1 (9.12.2023), 1-8, 12.2023

Classification: Medizin, Gesundheit

Creator: Lee, Chaewon
Joo, Gihun
Shin, Seunghun
Im, Hyeonseung
Moon, Ki Won

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-023-48842-7

URN: urn:nbn:de:101:1-2024022611110425075519

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:02 AM CEST

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Lee, Chaewon
Joo, Gihun
Shin, Seunghun
Im, Hyeonseung
Moon, Ki Won
SpringerLink (Online service)

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Prediction of osteoporosis in patients with rheumatoid arthritis using machine learning

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Other Objects (12)

Distinct biomarkers for different bones in osteoporosis with rheumatoid arthritis

Robust SNP-based prediction of rheumatoid arthritis through machine-learning-optimized polygenic risk score

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The prevalence of osteoporosis in rheumatoid arthritis patient: a systematic review and meta-analysis

The frequency of and risk factors for osteoporosis in Korean patients with rheumatoid arthritis

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Robust SNP-based prediction of rheumatoid arthritis through machine-learning-optimized polygenic risk score

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The prevalence of osteoporosis in rheumatoid arthritis patient: a systematic review and meta-analysis

The frequency of and risk factors for osteoporosis in Korean patients with rheumatoid arthritis

The association between dietary zinc intake and osteopenia, osteoporosis in patients with rheumatoid arthritis

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