Methods and Models of a Multifunctional System Support for Decision Making for Differential Diagnosis of Diseases
International Journal of Advanced Trends in Computer Science and Engineering
The article discusses the development of a multifunctional system for the support of medical decision-making for the differential diagnosis of the disease based on the modular principle. It is known that due to the complexity of processing large volumes of information with a large number of decision rules in the knowledge base (KB), the decision-making process is complicated. In connection with this, usually an expert system with the aim of increasing the accuracy of diagnostic solutions
... oped as one functional expert systems (ES) for a narrow class of diseases. A multifunctional medical decision support systems (MDSS) will be designed to solve the problems of differential diagnosis of not one but many classes of diseases, which complicates the decision-making process. This paper discusses the development of multifunctional MDSS. Facilitation of the diagnostic decision-making process is carried out using the modular principle. Each module has a pile of knowledge bases, which has a hierarchical structure designed for phased reasoning. The software part of the ES consists of control programs and several modules (subprograms). Each module is designed to solve the differential diagnosis of one narrow class of the disease. The implementation of this system is considered for examples of the class of disease "Myocardial infarction" and "Headache". By increasing the number of modules in the KB, you can expand the versatility of this diagnostic system.