Medical decision support system for early diagnosis of liver disease

The paper considers a decision support system for the diagnosis of liver disease based on the data of medical examinations of patients. A software-algorithmic complex for decision-making to determine the stage of the patient's disease has been developed. Significant parameters characterizing the stage of liver disease have been determined using aggregate estimates of correlation dependencies of parameters and data of expert physicians. Classifiers based on fuzzy logical inference for determining the stage of liver disease are proposed. Studies confirming the effectiveness of the proposed decision support system for medical diagnosis have been carried out.