Abstract
The object of research is the diagnostic decision support system (DSS). One of the most problematic areas in medical diagnostic systems is the formation of a knowledge base based on expert rules, which provides a recommendation for the disease. The methods of designing medical diagnostic systems have been studied. Methods for applying the potential of artificial intelligence in medicine in the form of fuzzy rules or conducting diagnostics on the basis of Bayesian networks are considered. Intellectual computing tools in the form of expert systems based on rules and fuzzy logic, applied to neural networks and genetic algorithms performed in medical diagnostics are considered.To develop a decision support system for a pediatrician, a method to build a knowledge base on the basis of logical rules «If ..., then ...» was chosen. Using this method allows to create initial conditions for input data in the system, and speed up their processing in the knowledge base. Although the knowledge base is quite cumbersome, this does not reduce the performance of the system.In the process of research, the development of a medical diagnostic system for decision support by a pediatrician for the design stages is described. The application of this system allows to automate the process of document circulation for a pediatrician and to speed up the stage of preliminary assessment of the patient's condition.The built-in pediatrician electronic pediatric module not only automates the workflow process, reduces the doctor's work time with papers, but also allows to obtain complete information about the patient.The calculation of economic efficiency from the DSS introduction by a pediatrician is performed. The system cost is to be recouped within 1 year.The prospect of adding modules to the system for individual diseases and forming an electronic record from the moment of birth with the prospect of transferring data to the system for adults are advantages over analogues of this software product.
Highlights
The application of information technologies in all spheres of human life implies both the development of software and its implementation in all sectors of the economy, social sphere, medical institutions, etc
The system for diagnosis of childhood diseases should contain a database of medical data, a know ledge base based on expert rules and formulate recommendations to the pediatrician to assist in making preliminary decisions
Work [6] is devoted to the analysis of methods and tools of medical expert systems
Summary
The application of information technologies in all spheres of human life implies both the development of software and its implementation in all sectors of the economy, social sphere, medical institutions, etc. The creation of decision support systems (DSS) by a specialized doctor meets the requirements. The creation of a diagnostic medical decision support system will ensure the process of timely and reliable diagnosis of the patient to choose the right treatment. This system aims to connect the knowledge of the doctor, long-term knowledge and research in medicine by the type of disease with information technology
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