An inertial projective forward-backward-forward algorithm for constrained convex minimization problems and application to cardiovascular disease prediction

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dc.contributor.authorPrasit Cholamjiak
dc.contributor.authorWatcharaporn Cholamjiak
dc.contributor.authorKunrada Kankam
dc.contributor.correspondenceP. Cholamjiak; School of Science, University of Phayao, Phayao, 56000, Thailand; email: prasit.ch@up.ac.th; W. Cholamjiak; School of Science, University of Phayao, Phayao, 56000, Thailand; email: watcharaporn.ch@up.ac.th; K. Kankam; Elementary Education Program, Faculty of Education, Suan Dusit University Lampang Center, Lampang, 52100, Thailand; email: kunradazzz@gmail.com
dc.date.accessioned2025-03-10T07:34:20Z
dc.date.available2025-03-10T07:34:20Z
dc.date.issued2024
dc.description.abstractIn this paper, we introduce a novel machine learning algorithm designed for the classification of cardiovascular diseases. The proposed inertial projected forward-backward-forward algorithm is developed to address constrained minimization in Hilbert spaces, with a specific focus on improving the accuracy of disease classification. Utilizing inertial techniques, the algorithm employs a projected forward-backward-forward strategy, demonstrating convergence under mild conditions. Evaluation of the algorithm employs four essential performance metrics-accuracy, F1-score, recall, and precision to gauge its effectiveness compared to alternative classification models. Results indicate significant performance gains, achieving peak metrics of 77.50% accuracy, 71.57% precision, 91.27% recall, and 80.23% F1-score, thereby surpassing established benchmarks in machine learning models for cardiovascular disease classification. © 2025 All rights reserved.
dc.identifier.citationJournal of Mathematics and Computer Science
dc.identifier.doi10.22436/jmcs.037.03.08
dc.identifier.issn2008949X
dc.identifier.scopus2-s2.0-85208471155
dc.identifier.urihttps://repository.dusit.ac.th//handle/123456789/4454
dc.languageEnglish
dc.publisherInternational Scientific Research Publications
dc.rights.holderScopus
dc.subjectclassification problem
dc.subjectconstrained minimization problem
dc.subjectinertial technique
dc.subjectProjection method
dc.titleAn inertial projective forward-backward-forward algorithm for constrained convex minimization problems and application to cardiovascular disease prediction
dc.typeArticle
mods.location.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85208471155&doi=10.22436%2fjmcs.037.03.08&partnerID=40&md5=6910d77d281fb2dc3febc0b86f5848f9
oaire.citation.endPage360
oaire.citation.issue3
oaire.citation.startPage347
oaire.citation.volume37
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