Data Science Evolution and Application in Medical Education

Main Article Content

Denen Peter Tsaha
Yongu Williams Terhemen


Data science application in medical education is rapidly evolving. This article defined data science and its application in various domains of mathematics, statistics, artificial intelligence, computer engineering and medical education. The concepts frequently deployed in artificial intelligence such as deep learning, big data and machine learning were explained. A brief overview of evolution of data science was narrated and breakthrough moments were equally highlighted. Medical education and its peculiarities as well as the various challenges encountered in Nigeria were examined. The value of integration of medical education and technology along with the attendant benefits was highlighted. Appropriate recommendations were made on the need to leverage on data science to improve learning experience and outcomes in medical education.

Article Details

How to Cite
Tsaha, D. P., & Terhemen, Y. W. (2023). Data Science Evolution and Application in Medical Education. International Journal of Human Kinetics, Health and Education, 8(1). Retrieved from
Author Biographies

Denen Peter Tsaha, Benue State University, Makurdi, Nigeria

Biostatistics Department, Center for Food Technology and Research (CEFTER)

Yongu Williams Terhemen, Benue State University, Makurdi, Nigeria

Surgery Department, College of Health Sciences