Cost-Sensitive Ensemble Feature Ranking and Automatic Threshold Selection for Chronic Kidney Disease Diagnosis

Cost-Sensitive Ensemble Feature Ranking and Automatic Threshold Selection for Chronic Kidney Disease Diagnosis

Automated medical diagnosis is one of the important machine learning applications in the domain of healthcare. In this regard, most of the approaches primarily focus on optimizing the accuracy of classification models. In this research, we argue that, unlike general-purpose classification problems,...

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Bibliographic Details
Main Authors:	Syed Imran Ali, Bilal Ali, Jamil Hussain, Musarrat Hussain, Fahad Ahmed Satti, Gwang Hoon Park, Sungyoung Lee
Format:	Article
Language:	English
Published:	MDPI AG 2020-08-01
Series:	Applied Sciences
Subjects:	cost-sensitive feature selection ensemble models decision tree classifiers chronic kidney disease random forest gradient boosted trees
Online Access:	https://www.mdpi.com/2076-3417/10/16/5663

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