NIGERIAN JOURNAL OF SCIENCE AND ENVIRONMENT
Journal of the Faculties of Science and Agriculture, Delta State University, Abraka, Nigeria
ISSN: 1119-9008
DOI: 10.5987/UJ-NJSE
Email: njse@universityjournals.org
FUZZY EXPERT SYSTEM FOR MALARIA DIAGNOSIS
DOI: 10.5987/UJ-NJSE.17.098.1 | Article Number: 533F6E18 | Vol.12 (1) - May 2013
Author: Ojeme B. O.
Keywords: fuzzy logic, Malaria, Expert systems, symptoms
Malaria remains one of the world’s most deadly infectious diseases and arguably, the greatest menace to modern society in terms of morbidity and mortality. To choose the right treatment and to ensure a quality of life suitable for a specific patient condition, early and accurate diagnosis of malaria is essential. It reduces disease and prevents deaths. It also contributes to reducing malaria transmission. In recent times, Information Technology (IT) has played a significant role in the task of medical diagnosis. This paper work focused on Fuzzy Expert System for malaria diagnosis. It is simple to use, portable, low cost and makes malaria diagnosis more rapid and accurate. It supports medical practitioners and assists malaria researchers to deal with the vagueness, imprecision and time-consuming found in traditional laboratory diagnosis of malaria, and provide accurate output based on the input data.
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