Open Access iconOpen Access

ARTICLE

crossmark

Prediction Models for COVID-19 Integrating Age Groups, Gender, and Underlying Conditions

Imran Ashraf1, Waleed S. Alnumay2, Rashid Ali3, Soojung Hur1, Ali Kashif Bashir4, Yousaf Bin Zikria1,*

1 Department of Information and Communication Engineering, Yeungnam University, Gyeongsan-si, 38541, Korea
2 Department of Computer Science, King Saud University, Riyadh, Saudi Arabia
3 School of Intelligent Mechatronics Engineering, Sejong University, Korea
4 Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, United Kingdom

* Corresponding Author: Yousaf Bin Zikria. Email: email

TSP_CMC_15140.pdf

  • 2769

    View

  • 1667

    Download

  • 0

    Like

Share Link