Development of the principles of fuzzy rule-based system for hepatocelular carcinoma staging

The article proposes the principles for development of a fuzzy rule-based physician decision support system n to determine stages most common hepatocellular carcinoma (HCC) among malignant tumors liver. HCC, i.e., critical situations, are expressed by different combinations clinical signs input data and emerging conditions. These shape multiplicity possible situations (critical situations) forming linguistic rules that in relations with one another. presents task developing rules-based HCC staging classifying set into given classes. In order solve problem, deviated from them developed according data. accordance decision-making process two phases. first phase, three developed: nine conditions based on number, size, vascular invasion tumor. second seven presence lymph nodes metastases these At this stage, representing fuzzification results obtained also described. latter provide an interpretation related stage HCC. It functional scheme staging, working principle structural blocks. can be used physicians make diagnostic treatment decisions