Machine learning in rheumatology approaches the clinic

被引：0
|
作者：
Aridaman Pandit
Timothy R. D. J. Radstake
机构：
[1] University Medical Center Utrecht,Division Internal Medicine and Dermatology and Centre for Translational Immunology
来源：
Nature Reviews Rheumatology | 2020年 / 16卷
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学科分类号：
摘要：
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.
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页码：69 / 70
页数：1
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