DEVELOPMENT OF A FUZZY LOGIC BASED PREDICTIVE MODEL FOR THE RISK OF LASSA FEVER

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DC Field	Value	Language
dc.contributor.author	OJOMO, ABIOLA OLUWAJUBE	-
dc.date.accessioned	2022-06-21T07:58:55Z	-
dc.date.available	2022-06-21T07:58:55Z	-
dc.date.issued	2020	-
dc.identifier.citation	OJOMO ABIOLA OLUWAJUBE (2020). DEVELOPMENT OF A FUZZY LOGIC BASED PREDICTIVE MODEL FOR THE RISK OF LASSA FEVER.	en_US
dc.identifier.other	15010301028	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/151	-
dc.description.abstract	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.	en_US
dc.language.iso	en	en_US
dc.publisher	Mountain Top University	en_US
dc.subject	fuzzy logic	en_US
dc.subject	prediction model	en_US
dc.subject	lassa fever	en_US
dc.title	DEVELOPMENT OF A FUZZY LOGIC BASED PREDICTIVE MODEL FOR THE RISK OF LASSA FEVER	en_US
dc.type	Other	en_US
Appears in Collections:	Computer Science

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