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Journal of Nephrology & Therapeutics

ISSN: 2161-0959

Open Access

An Analysis of Collaborative Intelligent Decision Support System for Estimated Glomerular Chronic Kidney Disease

Abstract

V Shanmugarajeshwari* and M Ilayaraja

Computational Collaborative Healthcare data analytics is a method of methodical data analysis that allows healthcare specialists to discovery opportunities used for development in health system management processing the various information are stored. This proposed approach entails three parts comparable to preprocessing, attribute selection, classification algorithms. The goal of this work is to plan a machine-based diagnostic approach using machine learning technique. This method is developed to mining the risk factors of chronic kidney diseases. In this work, Random forest, SVM C5.0, Decision Tree, C4.5 and ANN algorithms were used to identify an early diagnosis of CKD patients. This work comparing other algorithms the best for Random forest algorithm with good accuracy and less time complexity.

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Citations: 784

Journal of Nephrology & Therapeutics received 784 citations as per Google Scholar report

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