Show simple item record

dc.contributor.authorAsrar, Manal
dc.contributor.authorBawazir, Joud
dc.contributor.authorI Khan, Sibghatullah
dc.contributor.authorMian Qaisar, Saeed
dc.date.accessioned2023-04-29T12:14:01Z
dc.date.available2023-04-29T12:14:01Z
dc.date.issued2023-04-05
dc.identifier.doihttps://doi.org/10.1109/ICSCA57840.2023.10087885en_US
dc.identifier.urihttp://hdl.handle.net/20.500.14131/743
dc.description.abstractThis paper aims to make use of The Physionet Challenge 2016 collection of normal and abnormal heart sound recordings that were classified by automated identification of PCG sounds to help detect heart diseases earlier and prevent incidents. People with heart diseases have been increasing and most of them lead to fatalities so the detection of sound signals through PCGs can be applied in machine learning models by extracting features from data. In this study, the dataset's recordings are segmented to be used in variational mode decomposition. Once they are decomposed, those means will be fused together into a set of features given to the Butterfly Optimization Algorithm which will conduct a selection of features. As the features are selected, MATLAB was used to test various machine learning algorithms. Results from Support Vector Machines (SVM) and artificial neural networks were used in this investigation (ANN). The ANN model, which had an accuracy rate of 94.8%, was the most accurate of them.en_US
dc.description.sponsorshipEffat Universityen_US
dc.publisherIEEEen_US
dc.subjectMachine learningen_US
dc.subjectClassificationen_US
dc.subjectAlgorithmsen_US
dc.subjectButterfly Optimizationen_US
dc.subjectVariational Mode Decompositionen_US
dc.subjectHeart diseasesen_US
dc.subjectPCGen_US
dc.titleHeart Disease Identification Based on Butterfly Optimization and Machine Learningen_US
dc.contributor.researcherCollege collaborationen_US
dc.subject.KSAHEALTHen_US
dc.contributor.ugstudent2en_US
dc.source.indexABDCen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.contributor.firstauthorAsrar, Manal


This item appears in the following Collection(s)

Show simple item record