Liver disease classification using histogram-based gradient boosting classification tree with feature selection algorithm

•This work proposes the Histogram-based Gradient Boosting Classification Tree for predicting liver diseases.•Proposed HGBoost, with the recursive feature selection algorithm, improved accuracy of 1–7% and reduced MSE.•The results of proposed algorithm will be more useful for physicians to make bette...

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Bibliographic Details

Published in:	Biomedical signal processing and control Vol. 100; p. 107102
Main Author:	Theerthagiri, Prasannavenkatesan
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2025
Subjects:	Feature importance HGBoost Liver disease prediction Recursive feature selection Feature importance HGBoost Liver disease prediction Recursive feature selection
ISSN:	1746-8094
Online Access:	Get full text
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