Abstract
Clinical Decision Making Support Systems (CDMSS) are becoming increasingly popular in the wake of the introduction of information technology in medicine and the development of medical information systems. The potential benefits of using the CDMSS are forcing you to look for ways to create such a system that would allow you to solve not only clinical problems, but also analytical ones, planning tasks, training medical personnel, and digging new knowledge in medicine. It has been almost 50 years since the creation of the first MYCIN CDMSS, but the developers of such systems, the systems that provide intellectual support for clinical decision-making (ICDMSS), still face the problems of imitating reflexion and building an adequate inference machine that would provide the doctor with detailed explanations regarding proposed options for further action. This article is devoted to describing the experience of developing an algorithm for the operation of the solver of ICDMSS for diagnosing angina, which using mathematical methods would allow adequately evaluating the options offered to the doctor, as well as explaining them in detail using custom user stories.
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