Abstract
This paper discusses the main concept of the medical expert system (MES) and its algorithm and application. The algorithm based on an expert system which consists of two main diagnose parts: the traditional medicine, part “E” (Tibetan or eastern medicine) and the European medicine, part “W”. This paper will focus only on “E” part of the system. Part “E” designed as MES. Part “E” includes a basic questionnaire. By this questionnaire system, it will collect data from the user. The questionnaire is set of questions 26 by 3, and this is new approach test to estimate diagnose by innate nature of human. Collected data processes by MES knowledge rules. Then outcome of “E” part will be compared with the outcome of “W” part. Comparison part will compute the probability of diagnose. One of the new ideas of this MES is, we are using “E” part results into “W” part result to do decision about diagnose that’s “Is this really serious illness? If it had some probability could be a serious illness, then the system looks for a reason. May be a general balance of the human body is damaged, and patient not yet ill. If it is real illness, then what is system calculating the probability of correctness of diagnoses by the methodology of “E” part”.
We are developing an application for this MES with a mission to use it in the training of medical students. It will help students to learn basics of eastern medicine methodology to estimate diagnose of the patient. Application designed to be easy to understand and use for users without special computer skills.
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Ayush, Y., Tudevdagva, U., Grif, M. (2017). Expert System Based Diagnostic Application for Medical Training. In: Kravets, A., Shcherbakov, M., Kultsova, M., Groumpos, P. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2017. Communications in Computer and Information Science, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-65551-2_54
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