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...

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Vydané v:	. Ročník 16; číslo 2; s. 25 - 34
Hlavní autori:	Hasan, Umar Shakir, Salih, Ibrahim Ahmad
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Mosul, Iraq University of Mosul, College of Computer Science and Mathematics 05.12.2022 Mosul University
Predmet:	bat algorithm catboost cuckoo search decision trees imbalance data machine learning naive bayes particle swarm optimization
ISSN:	1815-4816, 2311-7990
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