Abstract
Tuberculosis (TBC), caused by the bacterium My tuberculosis (Mtb), is a growing international health crisis [1]. TBC is one of the main causes of death produced by infectious illness and is responsible for almost 3 millions deaths every year [2]. In this study, a controlled Expert System (ES) have designed to diagnosis of TBC and truth table have created by considering the probabilities of TBC (12 symptom, 212=4096 different cases). According to the probabilities of TBC, 6 different cases have accepted as output values and reduced rule bases have obtained. These output values have been processed by an ES and have tried to diagnosis of TBC with help to ES. We obtained very good results and the results of analyses carried out indicated that controls performed with ES provide less time, less probability, reliable and consistent diagnosis and that are feasible in real life.
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© 2011 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Sümbül, H., Başçiftçi, F. (2011). A Logic Simplification Based on Expert System Application for TBC Diagnosis. In: Lin, J.C., Nikita, K.S. (eds) Wireless Mobile Communication and Healthcare. MobiHealth 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 55. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20865-2_4
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DOI: https://doi.org/10.1007/978-3-642-20865-2_4
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