Journal of Tropical Diseases & Public Health

Department of Computer Science, University of Uyo, Uyo, Nigeria

Biography

Okure U. Obot currently works at the University of Uyo. Okure does research in Software Engineering and Artificial Neural networks. Their current project is A comparison of AHP and ANP. He has a special interest in the field of soft computing techniques.

Publications

• Review Article   
  Application of Soft Computing Techniques in The Diagnosis of Tropical Diseases: A Systematic Review
  Author(s): Samuel B. Oyong, Faith-Michael E. Uzoka*, Okure U. Obot, Etim Edem Ekong and Pius U. Ejodamen
  
  The complex nature of tropical disease variants with confusable symptoms has led to prescription errors and consequentially, many deaths. Soft-computing techniques have been proposed to handle vagueness and imprecision in the diagnosis process. This paper presents a systematic review on the use of soft-computing techniques in the diagnosis of tropical diseases. The results show that Africa, Asia-Pacific and European countries have done more research in areas that focus on the use of soft computing techniques in the diagnosis of tropical diseases, followed by the Americas. Of the twelve (12) tropical diseases commonly researched, malaria, dengue fever, skin diseases, and typhoid fever top the list. The soft-computing classifiers were evenly distributed between single and hybrid paradigms. Most of the classification engines were based on fuzzy logic (15), neural network (5), support vec.. View more»
  

  Abstract PDF