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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Veröffentlicht in:	IEEE access 2024, Vol.12, p.180210-180237
Hauptverfasser:	Hassan Mohamed, Marghany, Hussein Ali, Botheina, Ibrahim Taloba, Ahmed, Aseeri, Ahmad O., Abd Elaziz, Mohamed, El-Sappagah, Shaker, Mahmoud El-Rashidy, Nora
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Classification tree analysis Diseases Ensemble stacking Feature extraction feature selection ILPD dataset liver disease prediction Liver diseases Machine learning Predictive models Stacking
Online-Zugang:	Volltext
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