DEVELOPMENT OF A FUZZY LOGIC BASED PREDICTIVE MODEL FOR THE RISK OF LASSA FEVER
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TextPublisher: Ibafo COMPUTER SCIENCE AND MATHEMATICS 2020Edition: Professor P. A. IDOWUDescription: ix; 50 dia, tablesSubject(s): Computer ScienceSummary: A fuzzy logic-based system has been applied to a number of medical cases, particularly in the area of diagnostic system development, and has been discovered to produce precise results. This paper introduces a fuzzy logic-based method used to simulate a prediction model for the prediction of Lassa fever among individuals. The results of variable fuzzification and defuzzification, inference engine description and model testing were presented and showed that the model based on fuzzy logic would be very useful in predicting the probability of Lassa fever among individuals.
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A fuzzy logic-based system has been applied to a number of medical cases, particularly in the area of diagnostic system development, and has been discovered to produce precise results. This paper introduces a fuzzy logic-based method used to simulate a prediction model for the prediction of Lassa fever among individuals. The results of variable fuzzification and defuzzification, inference engine description and model testing were presented and showed that the model based on fuzzy logic would be very useful in predicting the probability of Lassa fever among individuals.
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