Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 26, Pages: 1-8
Jaegeol Yim1* and Jaehun Joo2
1 Department of Computer Engineering, Dongguk University, Gyeongju - 780-714, Gyeongbuk, Korea; [email protected]
2 School of Management, Dongguk University, Gyeongju - 780-714, Gyeongbuk, Korea; [email protected]
Traditional Korean medicine prescribes differently if the patients’ constitutions are different, even if their symptoms are the same. Therefore, correctly determining a patient’s constitution is very important in practice. Traditional Korean medicine doctors classify individuals into constitution classes based on strength and the size of the person’s internal organs. There are eight classes: Pulmotonia, Colonotonia, Renotonia, Vesicotonia, Pancreotonia, Gastrotonia, Hepatonia, and Cholecystonia. However, an objective way of determining an individual’s constitution does not exist. Traditional Korean medicine doctors examine the patient’s appearance, ask several questions, and feel the pulse of the patient in order to determine the patient’s constitution. Therefore, we need an expert system that can assist doctors to determine the patient’s constitution. This paper develops an inference system to classify persons into the eight constitutions.
Keywords: Constitutions, Expert System, Inference Engine, Traditional Korean Medicine
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