机器学习在类风湿关节炎中的应用

Ganeshbabu K, I. M.
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引用次数: 0

摘要

本文综述了用于类风湿关节炎(RA)研究的不同数据挖掘和机器学习方法。类风湿性关节炎是一种常见病,影响手指、膝盖和脚的关节。它是一种引起严重疾病的慢性炎症性疾病。在机器学习应用的时代,它们为自身免疫性类风湿关节炎的诊断、预测和预后带来了一些技术和临床上的进步。本研究对机器学习技术提供了一些重要的分析,这些技术目前在RA的医疗数据分析中得到实践,以及它如何用于药物开发、目标识别、药物再利用和输送。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applications of Machine Learning in Rheumatoid Arthritis - An Insight
This paper deals with the review of different data mining and machine learning approaches engaged for the study of Rheumatoid Arthritis (RA). RA is a constant illness that affects the joints located in the fingers, knees, and feet. It is a kind of chronic inflammatory disease that causes severe sickness. In the era of machine learning applications, they lead to some technological as well as clinical advancement for the arthritis diagnosis, prediction, and prognosis of auto immune rheumatoid arthritis. This study provides some vital analysis of the machine learning techniques that are presently practiced in the analysis of medical data for RA and how it is used in the drug development, target identification drug repurposing and delivery.
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