Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering最新文献

{"title":"A System for Collecting and Evaluating Load Information about Bioelectric Signals of the Muscular Apparatus of the Foot of a Person with Cerebral Palsy","authors":"S. M. Yatsun, A. Rukavitsyn, E. Politov","doi":"10.21869/2223-1536-2023-13-4-70-83","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-4-70-83","url":null,"abstract":"The purpose of the research is to develop a system of biomechanical investigation of the volume of movement in the foot and ankle joint for the diagnosis of patients with cerebral palsy in assessing the quality of rehabilitation measures. The process of creating a computer diagnostic system for patients with impaired motor functions of the lower extremities, which is equipped with special bio-measuring devices provided with specialized algorithms for processing the information obtained, is investigated due to the need for scientific research aimed at developing methods and tools for a comprehensive assessment of the results of physical rehabilitation using biomedical indicators.Methods of kinematic analysis of movements in the ankle joint were used, dynamic and static analyses of the forces of the supporting reactions of the foot of the lower extremities were carried out.Results. A motion detection system based on an electronic goniometer implemented on the basis of a B10K resistive potentiometer has been developed. The determination of the absolute rotation angles of the links of the diagnostic system was carried out using the MMA7361 acceleration sensor, which contains three micromachine capacitors mounted on one silicon plate. In the course of research, changing the capacitances of micromachine capacitors makes it possible to fix the recorded value in each direction. Signals passing through low-frequency filters and temperature compensation cascades are sent to the corresponding outputs X, Y and Z. The obtained angulograms allow us to evaluate the gait of the studied patient in two classes ‒ normal and in the presence of pathology.Conclusion. A system for the formation and evaluation of bioelectric signals obtained using the muscular apparatus of the foot of patients with cerebral palsy, assembled on the platform of the Arduino UNO control board and a generalpurpose personal computer, has been developed. The developed system makes it possible to register bioelectric signals with their subsequent processing using a personal computer and making diagnostic decisions.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"9 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139602686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Particle Size Analysis of Nanopowders Using Neural Networks and Electron Microscopy","authors":"R. A. Tomakova, D. V. Psarev, Y. A. Neruchev, V. A. Starkov","doi":"10.21869/2223-1536-2023-13-4-84-98","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-4-84-98","url":null,"abstract":"The purpose of the research is to develop an application capable of automatically determining the particle size distribution of nanopowder using neural network technology in order to simplify the process of preparing documentation during its manufacture.Methods. To determine the physical properties of nanopowders during their fabrication, it is necessary to analyze the particle size distribution. A methodology for determining the size distribution of nanopowder particles based on light neural networks is proposed. Images obtained by electron microscopy are used for processing, which allows to speed up the preparation of manufactured powders for sale. The dataset collected for training contains real images of samples of different powders, augmented data and generated images. The Python language, LabVIEW graphical programming environment, YOLO convolutional neural network and various Python language libraries were used in the development.Results. The study resulted in a model trained on the collected dataset that is capable of recognizing particles in images. A software interface was created to work with the model to analyze nanopowder samples.Conclusion. The developed application allows to automatically determine the size of each powder particle on the basis of the obtained images, as well as to build graphs of their size distribution. This greatly simplifies the work of nanopowder producers and facilitates the preparation of the necessary documentation for the produced product.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"85 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139602009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Specialists Training for the Radiation Type of Non-Destructive Testing Based on Digital Technologies","authors":"V. Kuvshinnikov, E. Kovshov","doi":"10.21869/2223-1536-2023-13-4-54-69","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-4-54-69","url":null,"abstract":"The purpose of research is the development of application software, including VR-technologies, to increase the number of trained specialists in radiation type of nondestructive testing by reducing the per capita load on radiographic laboratories while maintaining the amount of practical training, acquired competencies and formed relevant professional skills.Methods. Prerequisites for virtualization of the process of training specialists in nondestructive testing of structural materials and fabricated products are defined. The main factors of demand for industrial radiography simulator in relation to the practical part of the educational cycle on radiation type of nondestructive testing are considered. As a result of the analysis the most significant aspects of practical training, available for their virtual realization, are singled out. The results of software implementation of mathematical models of physical and physicochemical processes of ionizing radiation, attenuation and absorption of penetrating radiation within the scope of digital twin of radiographic image generation as a result of simulation of the technological process of radiation type of nondestructive testing are presented.Results. Performed practical implementation of didactic materials in the form of hardware and software VR-simulator as part of digital educational environment to solve the problems of training, retraining, preparation for certification of personnel and providing admission of specialists to work on radiation type of nondestructive testing at facilities. Physical and technological aspects are analyzed, modeling, algorithmization and software implementation of VR-simulator are performed. A comprehensive approach to the creation of a learning environment with the use of digital technologies is presented. Considered are the main components, their goals and objectives. The structure of a practical lesson and illustrations of the training process in a virtual environment are given. The results of approbation of training programs with integration of classes in VR-simulator of industrial radiography have shown that the total time of practice of trainees increases by 40-55% with simultaneous reduction of per capita radiographic laboratory load by more than 25%. The main directions of development and scaling of software and hardware solution using VR-technologies are given.Conclusion. The developed and tested hardware-software solution together with the results of scientific research suggests the possibility of application and development directions of the digital educational system with VR-environment. The proposed approach application will allow to reduce environmental and biomedical risks by reducing the requirements to safety of training with the use of software and hardware solution. Automation of testing task generation and knowledge control procedures on the basis of software tools and mathematical models application, including methods of artificial intelligence, wil","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"13 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139601193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Method for Forming Linear Scales for Assessing Learning Outcomes with Control of the Adequacy of Indicator Variables","authors":"A. Maslak, A. Korobko","doi":"10.21869/2223-1536-2023-13-4-131-147","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-4-131-147","url":null,"abstract":"The purpose of the research is to construct a linear scale for assessing learning outcomes, and to assess the relevance of the indicator variables involved in the formation of the scale.Methods. An analysis of existing approaches to assessing competencies has shown that the most effective approach is the activity-based approach, which involves assessing competencies as a result of current, milestone and/or final control in a discipline or group of disciplines. For this, a scale is needed ‒ a measuring tool that allows you to assess the level of knowledge in a given competency. The quality of the measurement instrument was assessed within the framework of latent variable theory based on the Rasch model. We used the interactive environment “Measurement of Latent Variables, developed in the laboratory of objective measurements of Kuban State University, and the RUMM 2020 software, which is widely used in our country for processing student testing results.Results. For the universal competence Able to manage one’s time, build and implement a trajectory of self-development based on the principles of lifelong education, software and a pool of test tasks have been developed. Using latent variable theory, the validity of a linear scale for this competency was tested. Linear scale indicators have been identified that most adequately characterize the quality of knowledge level assessment, and indicators with the greatest and least sensitivity to the level of knowledge in this competency have been identified.Conclusion. The developed linear scale for assessing learning outcomes was used to measure the level of development of the universal competence UC-6 among students of Kuban State University. The results obtained are necessary for monitoring the formation of the UC-6 competence and for determining the factors influencing the formation of this competence.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"64 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139601488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Method of Diagnosis of Glaucoma Based on Human Fundus Images","authors":"S. V. Komkova","doi":"10.21869/2223-1536-2023-13-4-99-114","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-4-99-114","url":null,"abstract":"The purpose of the research to develop a technique for detecting glaucoma, which is based on calculating the size ratio of the optical cup and optical disc and the \"four quadrants\" rule. Their use increases the accuracy of glaucoma detection in human retina images.Methods. A glaucoma detection technique is proposed that uses the ratio of the vertical diameter of the cup to the vertical diameter of the disc and the \"four quadrants\" rule as the two main parameters for the detection of glaucoma. The optic nerve disc (OD), the ocular cup (OCH) are segmented using the area extension method and the watershed method, and then combined to obtain the final results. Their union is performed using the logical operation OR. The resulting images are approximated using circular approximation, since its implementation is simple by calculating a single center and radius. For diagnostics, it was decided to use two parameters: the ratio of the cup and the disc (OCD) and the rule of \"four quadrants\". Their combined assessment makes it possible to increase the accuracy of glaucoma detection.Results: the study of the proposed technique was performed on retinal images obtained from 4 databases: HRF, DIARETDB1, DRIONS-DB, Messidor. The study showed that the proposed technique correctly identifies 75 retinal images as glaucoma out of 84 with a total sensitivity of 91.67%. Of the 163 normal images, 154 were correctly classified as normal with a specificity of 94.47%.Conclusion. The proposed method is simple and computationally efficient. It can be effectively used in computer diagnostics of glaucoma in the early stages of the disease.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"32 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139599892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Method and Algorithm for Implementing the Mandelbrot Set for Processing Complex Structured Images","authors":"R. A. Tomakova, I. M. Akhmadullin, N. G. Nefedov, E. I. Puzyrev, A. A. Malyshev","doi":"10.21869/2223-1536-2023-13-4-115-130","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-4-115-130","url":null,"abstract":"The purpose of research. In our life, fractals are ubiquitous, for example, in nature, there are a huge number of figures similar to themselves and built according to certain laws. Fractals are used in computer graphics, economics, radio engineering, physics and many other fields. The use of fractals in various fields of science can open up many new possibilities. Therefore, the development of a software product designed to visualize the Mandelbrot set is an urgent task. The purpose of the research is to develop a software product designed for processing complex structured images based on fractal methods and algorithms for visualizing the Mandelbrot set.Methods. The Java programming language was used to implement the software product in order to visualize the Mandelbrot set. The SQLite database was used as a local data store. Libraries were also used: JavaFX ‒ to create a user interface; SQLite JDBC 3.21.0 ‒ to work with the SQLite database; imgscalr ‒ to scale images; Apache Commons IO 2.6 to work with the file system; ControlsFX v8.40.14 ‒ to create a user interface.Results. The developed software product based on fractal methods makes it possible to significantly highlight the textural features of images, on the basis of which the clustering operation of selected objects of interest in images is performed in order to export them for further classification.Conclusion. During the implementation of the project, a software product for visualization of the Mandelbrot set was implemented, which can be used to model objects having a fractal shape, in relation to the processing of complexly structured images containing invisible hidden features of objects in the images.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"54 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139601156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Method for Assessing the Level of Nonspecific Protection of the Human Body by Indicators Characterizing the Processes of Adaptation","authors":"S. N. Rodionova","doi":"10.21869/2223-1536-2023-13-4-175-192","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-4-175-192","url":null,"abstract":"The purpose of the research is to develop a method for assessing the level of nonspecific protection of the human body according to indicators characterizing the adaptation processes, the use of which in the decisive rules of forecasting and diagnosis of diseases ensures an improvement in the quality of decisions made.Methods. Numerous sources have a fairly detailed description of the protective mechanisms of the human body, implemented by non-specific and specific protection systems, which are closely related to such concepts as: adaptive potential, adaptive reserve, functional state and functional reserve. The paper investigates the use of indicators characterizing the adaptive potential and adaptive reserves for quantifying the nonspecific level of protection of the body from the effects of heterogeneous external factors. The methodology of synthesis of hybrid fuzzy decision rules is used as a basic mathematical apparatus.Results. The paper shows that to quantify the level of protection of the body, it is advisable to use an indicator of the activity of regulatory systems, adaptive potential, an indicator characterizing the immune-endocrine component of adaptation and an indicator characterizing the neuropsychic component of adaptation. For this system of indicators, a method has been developed to assess the level of protection based on basic indicators characterizing adaptation processes at the system-wide level, characterized by taking into account components characterizing various mechanisms for the formation of adaptive potential and adaptive reserve, taking into account the specifics of the data structure and ways of processing them for the best results in terms of quality and time of decisions. Fuzzy functions of the level of protection according to the selected system of indicators with an integral assessment of the level of protection of the body are obtained.Conclusion. The paper shows that in order to improve the quality of forecasting and diagnosis of socially significant and occupational diseases, it is advisable to use indicators of the level of protection of the body determined by adaptive mechanisms. It is established that the quality of decision–making using the proposed models increases by 10-15%, depending on the type of tasks being solved, compared with models that do not use indicators of the level of protection of the body.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"13 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139602674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Technologies of Bioimpedance Spectroscopy in Decision Support Systems for the Diagnosis of Socially Significant Diseases","authors":"O. V. Shatalova, N. Stadnichenko, M. A. Efremov, I. A. Bashmakova, A. V. Lyakh, A. V. Serebrovsky","doi":"10.21869/2223-1536-2023-13-4-148-174","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-4-148-174","url":null,"abstract":"The purpose of the research is to develop methods for the synthesis of hybrid classifiers to assess the risk of socially significant diseases using bioimpedance analysis.Methods. We developed a descriptor approach using impedance spectroscopy results, generating four amplitudephase-frequency responses from four quasi-orthogonal leads. They create the feature spaces necessary for our hybrid classifier in the diagnosis of pancreatic diseases, the autonomous intelligent agents of which are built on various paradigms: probabilistic neural networks, fuzzy logical inference, fully connected feedforward neural networks. We also presented a device structure for creating an informative feature space.Results. Experimental studies of the proposed methods and means of classifying medical rice were carried out on diagnostic tasks according to the classes \"acute destructive pancreatitis\" – \"no acute destructive pancreatitis\" and differential diagnosis tasks according to the classes \"prostate cancer\" ‒ \"chronic pancreatitis\". They showed that incorporating multi-frequency sensing into neural network-based classifiers allows the development of clinical decision support systems for disease diagnosis that are comparable in performance to existing clinical diagnostic methods. The results were confirmed in groups of male and female patients at different stages of cancer aged 25 to 80 years using a variety of diagnostic methods, including history, physical examination, assessment of comorbidities, laboratory tests, ultrasound, laparoscopy, intraoperative exploration and computed tomography.Conclusion. The use of bioimpedance spectroscopy and hybrid classifier models opens up new opportunities for accessible and objective diagnosis of pancreatic diseases, expanding the capabilities of intelligent medical decision support systems.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"43 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139599678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Selection of a Neural Network Architecture for Implementation of Cognitive Functions of Network Software for Control of a Group of Interacting Small Space Vehicles","authors":"E. A. Shilenkov, S. N. Frolov, E. A. Titenko, S. Y. Miroshnichenko","doi":"10.21869/2223-1536-2023-13-4-8-26","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-4-8-26","url":null,"abstract":"The purpose of the research is to substantiate and select the architecture of a neural network for the possibility of implementing the cognitive functions of network software for controlling a grouping of interacting small spacecraft.Methods are based on the concepts of AI theory for managing the grouping of small spacecraft - the use of adaptive methods and tools that allow making decisions, similar to the mechanisms of human thinking. With regard to space communication systems with a heterogeneous structure, AI methods and technologies are aimed at the processes of predicting the state in communication channels between network nodes and automatic reconfiguration of the network of devices based on the learning processes of a neural network (NN).Results. In the learning and forecasting mode, it is necessary to use time series of parameters and coordinates of specific pairs of small spacecraft with non-zero line of sight. Especially for time series analysis, recurrent neural networks (RNN) are used, in particular, LSTM. The idea of RNN operation is to use as input data for the current forecast not only the state vectors of the SVs and their coordinates, but also the previous value of the communication quality, actual or predictive. The paper shows that the onboard computing power of a separate MSC does not allow performing forecasting and training on board. Therefore, a dedicated ground segment of forecasting and monitoring is required, which will collect a posteriori information, periodically train the cognitive model, use it to predict the quality of communication, and transmit the results to the network nodes to build data transmission routes.Conclusion. The analysis of modern solutions and the choice of neural network architecture for the implementation of the cognitive functions of the network software for controlling the grouping of interacting small spacecraft showed that the neural networks of the Transformer architecture, which are based on the mechanism of internal attention, most fully meet the requirements of the project. The Transformer architecture allows using the entirety of a priori data, has a high learning and forecasting speed.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"42 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139602610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hybrid Neuro-Fuzzy Classifier for Monitoring the Effectiveness of Treatment of Diseases of the Respiratory System, Taking into Account Comorbidity","authors":"E. V. Petrunina, S. A. Filist, L. V. Shulga, V. V. Pesok, Hayder Ali H. Alawsi, A. V. Butusov","doi":"10.21869/2223-1536-2023-13-4-27-53","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-4-27-53","url":null,"abstract":"The purpose of research is to develop a hybrid neuro-fuzzy classifier for remote monitoring of the severity of community-acquired pneumonia, taking into account the risk of concomitant diseases.Methods. To assess the severity of community-acquired pneumonia and determine the effectiveness of its treatment plan, a hybrid neural network is included in the hybrid neuro-fuzzy classifier, which contains three macrolayers: PNNFNN-FNN*. The number of decisive blocks of the PNN macrolayer is equal to the number of segments allocated in the space of informative features, and the output of each PNN block produces risk and non-risk assessments of communityacquired pneumonia by severity clusters. Aggregation of decisions made over N segments of the space of informative features is carried out in the FNN layer, which has the structure of a fuzzy decision-making module. The aggregation of 2L PNN-FNN outputs occurs in the FNN* macrolayer. The same macrolayer takes into account the influence of comorbidity on the severity of community-acquired pneumonia.Results. The testing of a hybrid neuro-fuzzy classifier of the severity of community-acquired pneumonia was carried out on an experimental group of patients with community-acquired pneumonia with comorbidity in the form of coronary heart disease. Indicators of the quality of classification of the severity of pneumonia taking into account the risk of comorbid disease using the example of coronary heart disease showed that the aggregation of the classifier of the severity of community-acquired pneumonia and the classifier of the risk of comorbid disease in the form of a hybrid neuro-fuzzy classifier makes it possible to improve the quality of assessing the severity of community-acquired pneumonia by more than 10% for all quality indicators.Conclusion. A hybrid neuro-fuzzy classifier, built on different pattern recognition paradigms, makes it possible to identify clusters of disease severity and improve the quality indicators for classifying the severity of community-acquired pneumonia in the presence of comorbidity by an average of 12%.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"36 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139603701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}