An Improved Framework for Detecting Thyroid Disease Using Filter-Based Feature Selection and Stacking Ensemble

Author:

Obaido George1ORCID,Achilonu Okechinyere2,Ogbuokiri Blessing3ORCID,Amadi Chimeremma Sandra4ORCID,Habeebullahi Lawal5,Ohalloran Tony6ORCID,Chukwu Chidozie Williams7ORCID,Mienye Ebikella Domor8,Aliyu Mikail9ORCID,Fasawe Olufunke9,Modupe Ibukunola Abosede10ORCID,Omietimi Erepamo Job11,Aruleba Kehinde12

Affiliation:

1. Berkeley Institute for Data Science, University of California at Berkeley, Berkeley, CA, USA

2. School of Public Health, University of the Witwatersrand at Johannesburg, Johannesburg, South Africa

3. Department of Computer Science, Brock University, St. Catharines, ON, Canada

4. Department of Information Technology, Federal University of Technology, Owerri (FUTO), Owerri, Nigeria

5. Department of Computer Science, Summit University at Offa, Offa, Nigeria

6. School of Computer Science, National University of Ireland, Galway, Ireland

7. Department of Mathematics, Wake Forest University, Winston-Salem, NC, USA

8. College of Business and Economics, University of Johannesburg, Johannesburg, South Africa

9. School of Public Health, University of California at Berkeley, Berkeley, CA, USA

10. Department of Computer Science, Vaal University of Technology, Vanderbijlpark, South Africa

11. Department of Geology, University of Pretoria, Pretoria, South Africa

12. School of Computing and Mathematical Sciences, University of Leicester, Leicester, U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

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