Samuel B. Oyong

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

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