Heart Disease Prediction with Feature Selection Based on Metaheuristic Optimization Algorithms and Electronic Filter Model

Basit Öğe Kaydı
dc.authoridisik, ibrahim/0000-0003-1355-9420
dc.authorwosidisik, ibrahim/AAG-5915-2019
dc.contributor.authorIsik, Ibrahim
dc.date.accessioned2024-08-04T20:54:56Z
dc.date.available2024-08-04T20:54:56Z
dc.date.issued2023
dc.departmentİnönü Üniversitesien_US
dc.description.abstractIt is known that manually detecting heart conditions is often costly and time-consuming and any study regarding diagnose these conditions has a great importance. In this study, a metaheuristic optimization model has been developed to automate the detection of heart diseases with artificial intelligence compatible methods. In the proposed model, the feature set is selected to represent the best heart sound signals and heart disease diagnoses using machine learning algorithms with these feature sets. The proposed method has been tested on the Pascal dataset which consists of four classes. Firstly, an electronic-based filter model is used as low-pass filter and has great potential to use as a filtering for heart sound signals to decrease noise. Secondly, the statistical and acoustic feature vector extracted from the audio signals in the Pascal dataset is passed through particle swarm optimization (PSO), firefly algorithm (FA) and cuckoo search algorithm (CSA), and the most suitable feature vector is selected. After obtaining the most suitable feature vector with metaheuristic optimization algorithms and filtering method, heart disease diagnosis is performed using random forest (RF), K-nearest neighbor (K-NN), support vector machine (SVM) and Naive Bayes machine learning algorithms.en_US
dc.identifier.doi10.1007/s13369-023-08515-z
dc.identifier.issn2193-567X
dc.identifier.issn2191-4281
dc.identifier.scopus2-s2.0-85179314739en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1007/s13369-023-08515-z
dc.identifier.urihttps://hdl.handle.net/11616/101714
dc.identifier.wosWOS:001124396200005en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofArabian Journal For Science and Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHeart Diseaseen_US
dc.subjectClassificationen_US
dc.subjectElectronic-based filter modelen_US
dc.subjectParticle swarm optimizationen_US
dc.subjectFirefly algorithmen_US
dc.subjectCuckoo search algorithmen_US
dc.titleHeart Disease Prediction with Feature Selection Based on Metaheuristic Optimization Algorithms and Electronic Filter Modelen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu