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SYSTEM DIAGNOSIS SYMPTOMS OF FEVER ON CHILDREN USING ARTIFICIAL NEURAL NETWORK AND CERTAINTY FACTOR METHOD: A STUDY CASE OF FEVER PATIENT AT RSUD Dr. M. HAULUSSY HOSPITAL IN AMBON

Author : Y. A. Lesnussa*, H. W. M. Patty, C. J. Titawael, M. W. Talakua

Abstract

Symptoms of fever is a sign of declining health on child, when the treatment is not appropriate then can be a bad conduct to child body. For that reason, to make a parents are easiest to detect the disease its necessary to build an application for detection the disease symptoms of fever on child to get the diagnosis. On this research, the methods are used to build the diagnostic application is combination of certainty factor (CF) methods and artificial neural networks (ANN) for this case that is Backpropagation methods. This study had 6 disease symptoms of fever and 30 symptoms as a training data on 95 child patient medical data. The result of this study using the application has been conclude that the application can diagnostic the disease symptoms of fever with 76,62percen accuracy rate. Key words: Artificial Neural Network (ANN), Backpropagation, Certainty Factor (CF), Fever.

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