The paper analyses the main areas of application of mathematical methods in medical diagnostics, formulates the principles of diagnostics based on fuzzy logic. The basic structure of the MIS medical information system for assessing effectiveness of the formation of pathological and keloid scars was developed and the main recommendations for its design were put forward, namely: the selection and purpose of the system; construction of an algorithm for solving the problems of evaluating biomedical information and forming diagnostic and prognostic conclusions. The results of the study made it possible to obtain a conclusion about the high reliability of the obtained results during evaluation of effectiveness of the formation of pathological and keloid scars. The practical value of the work is realized in the possibility of using an automated medical expert system to solve the problems of medical diagnosis based on fuzzy logic for assessing effectiveness of the formation of pathological and keloid scars.
Diabetes can lead to a number of serious complications, in particular, diabetic retinopathy, which occurs in patients with diabetes and can lead to vision loss. In this regard, the development of an information system for the diagnosis of diabetic retinopathy is an important task in the medical field. Such a system can greatly facilitate the diagnostic process and help doctors detect and treat diabetic retinopathy in time. As a result of the conducted research, the urgent task of increasing the accuracy of diagnosis of fundus diseases was solved by using methods of pre-processing images to improve their informative characteristics, statistical analysis and differentiation of pathologies with the help of a decision support system based on neural network technologies. A comparative analysis of the existing methods of diagnosing diabetic retinopathy and other eye diseases was carried out, according to which it is clear that intellectual analysis and pre-processing of the received images of the fundus can significantly improve the results of diagnostics, especially early screening, which is important for preventing severe stages of the disease.
New approaches to ultrasonic measurements based on the use of the ultrasonic near-field zone and the resonance method are considered. the approaches can be used to measure such material parameters as density, thickness and humidity. simulation and obtained experimental results are given. a mathematical model of the ultrasonic resonance method for measuring material parameters is presented. shown simulation results and experimental data exhibit the high convergence which indicates the adequacy of the proposed model and allows offering a new class of ultrasonic methods for measuring control. a new approach to ultrasonic measurements based on the creation of ultrasonic wave selfoscillation conditions is proposed.
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