Hybridization of swarm for features selection to modeling heart attack data

Predicting heart attacks using machine learning is an important topic. Medical data sets contain different features, some of which are related to the target group for prediction and some are not. In addition, the data sets are excessively unbalanced, which leads to the bias of machine learning model...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	. Jg. 16; H. 2; S. 25 - 34
Hauptverfasser:	Hasan, Umar Shakir, Salih, Ibrahim Ahmad
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Mosul, Iraq University of Mosul, College of Computer Science and Mathematics 05.12.2022 Mosul University
Schlagworte:	bat algorithm catboost cuckoo search decision trees imbalance data machine learning naive bayes particle swarm optimization
ISSN:	1815-4816, 2311-7990
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!