A Review of a Decision Support System for Diagnosis (DSS) of Tropical Diseases
*1Olaniyan Olatayo M.; 2Ogunleye Gabriel O.; 3Fagbola Tayo & 4Omodunbi B. A
1&4Department of Computer Engineering, Federal University, Oye-Ekiti,
2&3Department of Computer Science, Federal University, Oye-Ekiti,
E-mail: olatayo.olaniyan@fuoye.edu.ng
*Corresponding Author: Dr. Olaniyan O.M
ABSTRACT
Tropical diseases account for some of the major causes of death in Africa. However, most existing decision support systems (DSS) for early diagnosis of tropical diseases are less effective owing to its vagueness and unstructuredness in making decisions. In this study, a decision support system, which is capable of addressing vagueness and confusion associated with early diagnosis of tropical diseases, was proposed. Information overload in medicine has long been acknowledged and remedies sought. One option is to devise medical expert system programs that reason for the doctor. For complex specialized areas we may be content to compartmentalize the knowledge and embed it in a machine that provides doctors with high-quality solutions as long as the machine can explain those solutions to the doctor’s satisfaction. One of the problems that characterized the traditional method of medical diagnostic is inaccuracy and imprecision which has claimed many life. The advent of computer has led to the development of several algorithms, models and technologies to ensure accuracy and precision and this has greatly reduced the death rate of patients daily in numbers the hospitals. This paper carried out a brief review of the research work done in knowledge based system in the field of medical diagnosis of tropical diseases.Various techniques used in some of the clinical systems that have being developed over time were discussed and the limitations were identified. In conclusion, Fuzzy-Ahp approach was proposed for optimal diagnosis of the diseases.
Keyword: Tropical Disease, DSS, Medical Experts, Fuzzy logic, Ahp
