Chi2-MI: A hybrid feature selection based machine learning approach in diagnosis of chronic kidney disease

Chi2-MI: A hybrid feature selection based machine learning approach in diagnosis of chronic kidney disease

Early detection and characterization are considered crucial in treating and controlling the chronic renal disease. Because of the rising number of patients, the high risk of progression to end-stage renal disease, and the poor prognosis of morbidity and mortality, chronic kidney disease (CKD) is a s...

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Bibliographic Details
Main Authors: Samrat Kumar Dey, Khandaker Mohammad Mohi Uddin, Hafiz Md. Hasan Babu, Md. Mahbubur Rahman, Arpita Howlader, K.M. Aslam Uddin
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Intelligent Systems with Applications
Subjects:
Machine learning
CKD
Classification
Feature selection
Healthcare informatics
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305322000813

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http://www.sciencedirect.com/science/article/pii/S2667305322000813

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