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...

Full description

Saved in:
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/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10680897/

Similar Items