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Machine learning in rheumatology approaches the clinic.
Nature Reviews Rheumatology ( IF 29.4 ) Pub Date : 2020-01-06 , DOI: 10.1038/s41584-019-0361-0
Aridaman Pandit 1 , Timothy R D J Radstake 1
Affiliation  

Machine learning and high-throughput technologies hold promise for the classification, diagnosis and treatment of patients with rheumatic diseases, with the ultimate goal of precision medicine. Several studies in 2019 highlight the feasibility and clinical utility of using machine learning in rheumatology to stratify patients and/or predict treatment responses.

中文翻译:

风湿病学中的机器学习已接近临床。

机器学习和高通量技术为风湿病患者的分类,诊断和治疗提供了希望,其最终目标是精准医学。2019年的几项研究强调了在风湿病学中使用机器学习对患者进行分层和/或预测治疗反应的可行性和临床实用性。
更新日期:2020-01-07
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