Designing algorithm for malaria diagnosis using fuzzy logic for treatment (AMDFLT) in Ghana - A case study of Juaso District Government Hospital.

dc.contributor.authorQuashie, Duodu
dc.date.accessioned2016-10-24T17:40:17Z
dc.date.accessioned2023-04-19T13:28:20Z
dc.date.available2016-10-24T17:40:17Z
dc.date.available2023-04-19T13:28:20Z
dc.date.issued2016-10-24
dc.descriptionA thesis submitted to the Department of Computer Science, Kwame Nkrumah University of Science and Technology, in partial fulfillment of the requirement for award of degree of Master of Philosophy in Information Technology 2014en_US
dc.description.abstractMalaria is a serious global health challenge hence prompt attention to it is vital especially accurate diagnosis and prompts treatment. The main objective of this study was to design algorithm for malaria diagnosis using fuzzy logic concept, unearth the hospitals' need, establish the requirement of the algorithm, decide on input and output linguistic variables and linguistic values, construct membership function and design fuzzy decision matrices....en_US
dc.description.sponsorshipKNUSTen_US
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/9368
dc.language.isoenen_US
dc.titleDesigning algorithm for malaria diagnosis using fuzzy logic for treatment (AMDFLT) in Ghana - A case study of Juaso District Government Hospital.en_US
dc.typeThesisen_US
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