Modeling Of An Expert System For Making A Diagnosis In The Treatment Of Oncological Diseases

Abstract

Today, an increase in the incidence of oncological diseases remains a significant problem of modern healthcare. Various categories of the population are at risk of developing this disease. In this regard, timely diagnosis of oncological diseases and their prevention is one of the priorities. Early detection and high diagnostic accuracy contribute to improving the effectiveness of treatment measures and increasing the life expectancy of patients.

The use of information technologies in the field of medicine is developing rapidly, which contributes to a significant improvement in the quality of diagnosis, treatment and monitoring of patientsThe modern medical sector has a wide variety of decision support systems designed to optimize clinical processes and improve the accuracy of medical decisionsExpert systems are being implemented to improve the accuracy and timeliness of cancer diagnosis, providing support to medical professionals in the clinical decision-making process and contributing to the optimization of patient treatment.The main purpose of this study is to conduct a scientific analysis and systematization of approaches used in expert systems for the diagnosis and treatment of oncological diseases.The key task is to determine the optimal method for developing an expert system that facilitates the most accurate diagnosis of the disease.An urgent problem solved within the framework of this study is the justification of the choice of a methodological approach to building an intelligent system that helps to accelerate and improve the accuracy of data analysis, as well as the formation of recommendations for the treatment of oncological diseases in the Semipalatinsk region.