Toward an Accurate Liver Disease Prediction Based on Two-Level Ensemble Stacking Model

Toward an Accurate Liver Disease Prediction Based on Two-Level Ensemble Stacking Model

The difficulty of detecting liver disease at an early stage goes back to its limited number of symptoms. In this study, single and ensemble machine learning (ML) algorithms are applied to the Indian Liver Patient Dataset (ILPD) dataset, and their results, without and with feature selection technique...

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Bibliographic Details
Main Authors:	Marghany Hassan Mohamed, Botheina Hussein Ali, Ahmed Ibrahim Taloba, Ahmad O. Aseeri, Mohamed Abd Elaziz, Shaker El-Sappagah, Nora Mahmoud El-Rashidy
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Series:	IEEE Access
Subjects:	Ensemble stacking feature selection ILPD dataset liver disease prediction machine learning
Online Access:	https://ieeexplore.ieee.org/document/10680897/
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