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Application of Machine Learning in Rheumatic Immune Diseases by Yuan Li; Linru Zhao is a Medicine article available to read on EtoBox.

What is Application of Machine Learning in Rheumatic Immune Diseases about?

People are paying greater attention to their personal health as society develops and progresses, and rheumatic immunological disorders have become a serious concern that affects human health. As a result, research on a stable, trustworthy, and effective auxiliary diagnostic method for rheumatic immune disorders is critical. Machine learning overcomes the inefficiencies and volatility of human data processing, ushering in a revolution in artificial intelligence research. With the use of big data, machine learning-based application research on rheumatic immunological disorders has already demonstrated detection abilities that are on par with or better than those of medical professionals. Artificial intelligence systems are now being applied in the field of rheumatic immune disorders, with an emphasis on the identification of patient joint images. This article focuses on the use of machine learning algorithms in the diagnosis of rheumatic illnesses, as well as the practical implications of disease-assisted diagnosis systems and intelligent medical diagnosis. This article focuses on three common machine learning algorithms for research and debate: logistic regression, support vector ma

Who reads Application of Machine Learning in Rheumatic Immune Diseases?

Author

Yuan Li; Linru Zhao

Publisher

Hindawi Limited

Published

2022

Language

EN

Field

Medicine (Physical Sciences)