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A New Multi-Agent Feature Wrapper Machine Learning Approach for Heart Disease Diagnosis

Mohamed Elhoseny1, Mazin Abed Mohammed2,*, Salama A. Mostafa3, Karrar Hameed Abdulkareem4, Mashael S. Maashi5, Begonya Garcia-Zapirain6, Ammar Awad Mutlag7, Marwah Suliman Maashi8

1 Department of Computer Science, College of Computer Information Technology, American University in the Emirates, 503000, United Arab Emirates
2 College of Computer Science and Information Technology, University of Anbar, Ramadi, 31001, Iraq
3 Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Johor, 86400, Malaysia
4 College of Agriculture, Al-Muthanna University, Samawah, 66001, Iraq
5 Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, 11451, Saudi Arabia
6 eVIDA Lab, University of Deusto, Bilbao, 48007, Spain
7 Department of Pure Science, Ministry of Education, General Directorate of Curricula, Baghdad, Iraq
8 Department of Medical Laboratory Science, Faculty of Applied Medical Science, King Abdulaziz University, Jeddah, 21589, Saudi Arabia

* Corresponding Author: Mazin Abed Mohammed. Email: email

TSP_CMC_12632.pdf

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