Analysis of the performance of feature optimization techniques for the diagnosis of machine learning-based chronic kidney disease

Analysis of the performance of feature optimization techniques for the diagnosis of machine learning-based chronic kidney disease

Chronic kidney disease (CKD) slowly decreases one’s kidney ability. A machine learning (ML) based early CKD diagnosis scheme can be an effective solution to reduce this harm. The efficiency of ML techniques depends on the selection and use of the appropriate features. Hence, this research analysis s...

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Bibliographic Details
Main Authors: Muhammad Minoar Hossain, Reshma Ahmed Swarna, Rafid Mostafiz, Pabon Shaha, Lubna Yasmin Pinky, Mohammad Motiur Rahman, Wahidur Rahman, Md. Selim Hossain, Md. Elias Hossain, Md. Sadiq Iqbal
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Machine Learning with Applications
Subjects:
Chronic kidney disease (CKD)
Feature optimization
Feature selection
Machine learning (ML)
Feature reduction
Feature importance
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827022000421

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http://www.sciencedirect.com/science/article/pii/S2666827022000421

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