Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/288
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMahor, Bharat Bhushan-
dc.contributor.authorSingh, Balveer-
dc.date.accessioned2025-06-04T08:49:56Z-
dc.date.available2025-06-04T08:49:56Z-
dc.date.issued2024-03-
dc.identifier.issn2278-3741-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/288-
dc.description.abstractComputer Science & Applicationen_US
dc.language.isoenen_US
dc.publisherAjasraaen_US
dc.subjectCardiovascular healthen_US
dc.subjectRandom Forest Classifieren_US
dc.titleMachine Learning Approaches for Coronary Artery Disease Detection: A Comprehensive Technical Investigationen_US
dc.typeArticleen_US
Appears in Collections:Computer Science & Application

Files in This Item:
File Description SizeFormat 
Machine Learning Approaches for Coronary Artery Disease Detection.pdf1.12 MBAdobe PDF Preview PDFDownload


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.