An Improved C4.5 Data Mining Driven Algorithm for the Diagnosis of Coronary Artery Disease

• Main Authors: Haruna, A.A., Muhammad, L.J., Yahaya, B.Z., Garba, E.J., Oye, N.D., Jung, L.T.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2019
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087076704&doi=10.1109%2fICD47981.2019.9105844&partnerID=40&md5=ca28c484c55fb7565b5d384818a8e2b5; http://eprints.utp.edu.my/23669/
• Institution: Universiti Teknologi Petronas

Coronary artery disease (CAD) is one of the deadly diseases in the world, especially in developed countries. This disease is not epidemic but it re-mains the single most common cause of death. This research used an im-proved C4.5 data mining algorithm for the diagnosis of CAD. A performance evaluati...