Machine learning-based prediction of relapse in rheumatoid arthritis patients using data on ultrasound examination and blood test

Machine learning-based prediction of relapse in rheumatoid arthritis patients using data on ultrasound examination and blood test

Abstract Recent effective therapies enable most rheumatoid arthritis (RA) patients to achieve remission; however, some patients experience relapse. We aimed to predict relapse in RA patients through machine learning (ML) using data on ultrasound (US) examination and blood test. Overall, 210 patients...

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Bibliographic Details
Main Authors: Hidemasa Matsuo, Mayumi Kamada, Akari Imamura, Madoka Shimizu, Maiko Inagaki, Yuko Tsuji, Motomu Hashimoto, Masao Tanaka, Hiromu Ito, Yasutomo Fujii
Format: Article
Language:English
Published: Nature Portfolio 2022-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-11361-y

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https://doi.org/10.1038/s41598-022-11361-y

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