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Improving Thyroid Disorder Diagnosis via Ensemble Stacking and Bidirectional Feature Selection

Muhammad Armghan Latif1, Zohaib Mushtaq2, Saad Arif3, Sara Rehman4, Muhammad Farrukh Qureshi5, Nagwan Abdel Samee6, Maali Alabdulhafith6,*, Yeong Hyeon Gu7, Mohammed A. Al-masni7

1 Department of Computer and Information System, Cleveland State University, Ohio, 44115, USA
2 Department of Electrical, Electronics and Computer Systems, College of Engineering and Technology, University of Sargodha, Sargodha, 40100, Pakistan
3 Department of Mechanical Engineering, College of Engineering, King Faisal University, Al-Ahsa, 31982, Saudi Arabia
4 Department of Biomedical Engineering, Riphah International University, Islamabad, 44000, Pakistan
5 Department of Electrical Engineering, Riphah International University, Islamabad, 44000, Pakistan
6 Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia
7 Department of Artificial Intelligence, College of Software and Convergence Technology, Sejong University, Seoul, 05006, Korea

* Corresponding Author: Maali Alabdulhafith. Email: email

TSP_CMC_47621.pdf

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