Τρίτη 1 Δεκεμβρίου 2020

Investigation on Data Mining and Machine Learning Techniques in Rheumatoid Arthritis Disease Research and Its Outcomes

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Abstract

The disease persists a long time with or without symptoms is known chronic diseases. In the medical world, this era is dedicated to Non-Communicable Diseases (NCD). It is the NCDs are the highest affecting disease in the world. There is no age, sex, and economic class for NCD rather it affects everyone in the world. Recent research confirms that the inner immune system mistakenly works against its body cells and organs. Such a syndrome is known as autoimmune disease (AD) which causes due to chemical imbalance of cells due to an improper lifestyle. AD exhibits symptoms when the body's health defense system could not able to identify its body cells and foreign bodies. The recent research focuses on the identification of AD in early stages by setting specialized biomarkers along with normal disease diagnostics. The identification of AD using computational intelligence is the emerging field in research. Data mining techniques are widely used to predict hidden infor mation from the stored normally. This work is aimed to find the significant contributions of computational techniques in AD research.

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