Journal of Emerging Trends in Engineering and Applied Sciences: Research Areas

Abstract:
Fever is a change in the body temperature of a human being, between the minimum and maximum temperature. The cause and type of fever ranges from communicable to non-communicable diseases. Yellow fever is a hemorrhagic fever caused by the yellow fever virus. It has resulted in about 127,000 severe cases and about 45,000 deaths and almost 90% of these reported cases occurring in Africa. In this study a Multilayer Perceptron Neural Network (MPNN) Classifier was proposed for diagnosing yellow fever. The MPNN consider seven physiological symptoms for diagnosing yellow fever. The system had a prediction accuracy of 88%. The high accuracy achieved in this study, if implement it will assist doctor in the accurate prediction of yellow fever and reduce the mortality rate of yellow fever patients in African nations.

Keywords: fever, yellow fever, neural network, multilayer perceptron, diagnosis.

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