Diagnostic Expert System Research Articles

Expert system for the diagnosis of toxicological emergencies

The population growth far exceeds the increase in the number of hospitals and health centers, further, the number of physicians considered experts in their specialty area are not sufficient to meet the growing demand of the population. Expert systems have a very important area of application in the medical field, in addition to social and economic impact. This paper presents the analysis, design and implementation of the project "Diagnostic Expert System for toxicological emergencies". Conceptual and theoretical foundations used for its creation are described, information modules creating user interface, expert interface and inference engine which operate in accordance with the provisions outlined.

An expert neural system for diagnostics of motor-driven valves

Trouble-free operation of motor-driven valves (MDV) is one of the key factors behind the operating safety of NPPs. As critical components, MDVs are a part of a safety system and a safety-related system. This imposes the highest possible requirements on the MDV reliability. MDVs are the most numerous category of the NPP components. Depending on design, one power unit contains 1500 to 3000 motor-driven valves alone. It follows from an analysis of the NPP failures that many of these are caused by failed motor-driven valves of safety and safety-related systems. The paper presents a description of an automated system for diagnostics of shutoff and control MDVs used in the NPP pipelines. The developed diagnostic algorithms make it possible to take into account the variability of the MDV technical parameters, while taking into account, at the same time, rated restrictions on diagnostic parameters, if any.

Fuzzy logical conclusions and conclusions in expert systems of medical diagnostics

The main problems in making a correct diagnosis are: subjectivity and insufficient qualifications of the doctor, difficulties in correctly assessing the patient’s complaints, signs and symptoms of the disease observed in the patient, as well as individual manifestations of the symptoms of the disease. In publications on the use of expert systems for medical diagnostics using fuzzy logic, the main attention was paid to the medical features of the problem. In this work, for the first time, general methodological aspects of building such systems, creating databases, representing by fuzzy sets of real numbers, digital scales, linguistic and Boolean data of symptom values are formulated. The types of membership functions that are advisable to use to represent the symptoms of diseases are proposed. In fuzzy-logical conclusions, not only the values of the characteristic functions of the logical terms of individual symptoms, but also complex arithmetic functions of their values are used.

Development of a fuzzy expert system for power transformer diagnostics

In this paper, an expert information system for assessing the technical condition of a power transformer is developed. The system will work on the basis of the fuzzy logic device, and provide operational information about the state of the power transformer. The paper uses fuzzy inference algorithms. The R programming language is used to write a program that uses fuzzy logic. We analyzed the data of chromatographic analysis of gases dissolved in oil, as well as the data of thermal imaging images, identifying the most heated points in power transformers. A database of fuzzy logic rules has been formed. Several examples of defuzzification of the results obtained by the center of gravity method are given. As a result of the program, a three-dimensional graph was obtained that characterizes the surface of the fuzzy output. The developed software package allows you to detect defects in working electrical equipment at an early stage of their development, which not only prevents a sudden shutdown of production as a result of an accident, but also significantly reduces the cost of repairing equipment and increases its service life

AGE-RELATED FEATURES OF THE CARDIAC OUTPUT IN BASIC POSE CONDITIONS (STANDING/LYING)

The aim of the work was to show the dynamics of cardiac output (CO) in standing and lying positions in postnatal ontogenesis.
 Material and methods. The data were obtained on the basis of an observational study in 1944 people (1308 men and 636 women). The following age groups were: up to 8 years (n=55), 9-14 years (n=68), 15-21 years (n=226), 22-35 years (n=326), 36-55 years for women and 36-60 years for men (n=658), up to 70 years (n=413) and over 70 years (n=198). The study was performed standing up and after 15-20 minutes in the supine position on the complex of the expert diagnostic system “ANTHROPOS-CAVASCREEN” based on rheography.
 Results. Our data justify the identification of the type of dynamic organization of blood circulation in humans by the anthropo-physiological ratio of CO in standing/lying positions. The transition to a hyperkinetic state in orthostatics is a manifestation of adaptation to the gravitational (hydrostatic) factor of blood circulation to ensure the circulatory state of the cardiovascular system in the most constant and relevant for human life conditions of upright walking. The obvious direction of such adaptation is the centralization of blood circulation in the standing position and the formation of a hyperkinetic state of the pumping function of the heart. This orientation reflects the strained state of the cardiovascular system in the anti-gravity support mode, which not only limits the functional reserve for cardiac output in the standing position, but also clearly associated with the growth of both problematic circulatory conditions and nosological states formed on this basis.

Designing a mobile medical expert system using the Yandex.Alice voice assistant

Solving the problem of making a primary diagnosis in the absence or shortage of qualified doctors. The main task is to reduce the risk of incorrect assessment of the health status of people who do not have the opportunity to receive prompt qualified medical advice and assistance. We offer a project solution – Alice’s skill (voice assistant from Yandex) “Pocket Doctor” with a voice interface, which is a diagnostic expert system containing rules for logical inference based on symptoms, the assessment of which does not require special laboratory tests and can be performed by people who do not have a medical education. Based on the collected information from the user, the primary diagnosis and recommendations for emergency medical care are determined.

Expert system for the diagnosis of hereditary metabolic diseases accompanied by mental disorders in children

Objective. To create a computer support system for pre-laboratory diagnosis of hereditary metabolic diseases with mental pathology. Material and methods. The authors used numerous literary sources to extract data for intelligent system. The initially formed database was supplemented by expert assessments for certain categories of age groups of children. Results. The experts determined the modality, confidence factors for the timing of manifestation and severity of signs for each clinical form at certain age periods. In the course of the study the authors built the models for a comprehensive assessment of signs and an integral assessment of diseases. The diagnostic algorithm is included in the database. It is used to compare the proposed hypotheses. The authors implemented a prototype of an expert diagnostic system based on a mucopolysaccharidosis model, which demonstrated 90% efficiency in a control sample of 20 patients.

Intellectual diagnosis components of electrical equipment in the sphere of transportation

Ensuring the reliability of the electrical equipment in transport means a necessity of its inspection and diagnosis. Frequency convertors are part of this equipment. The article is focused on creation of the optimal logical algorithm for frequency convertors diagnosis. The algorithm determines the most effective knowledge base structure of the diagnostic expert system. The algorithm is developed, the knowledge base structure is constructed in accordance with the proposed algorithm, and the diagnostic expert system used is implemented. Correctness and effectiveness of the expert system functioning are confirmed in practice.

Sistem Pakar Diagnosa Virus Corona Dengan Metode Naïve Bayes

Humans being are faced with non-natural disasters which have bad effect for population on the world. This non-natural disaster is called Corona Virus Disease (COVID-19). This COVID-19 will become a pandemic in 2020. This types of COVID-19 is coming from the Orthocronavirinae. It belongs to the Coronaviridae and the Nidovirales. This type of that virus has caused some disease to birds, mammals and also human being. Therefore, the research was conducted. The result of this research will give the information about system which related the classification human being according to their transmission to the body. This research used naïve bayes method. The result of this research is diagnostic system with the level of accuracy 94%. Thus, COVID-19 diagnostic expert system used to know the level of COVID -19 infections to human being. It can help the user knowing the next treatment.Keywords : Expert System, Naïve Bayes, Coronavirus, Covid-19

An Expert System for Laptop Fault Diagnostic Assistance

Laptop has always been a very useful tool for studies and most university students own at least one laptop. However, not all university student knows how to diagnose and troubleshoot their laptop when it is not working right. Most university student would rather hire computer technician to fix their laptop even though the solution to their laptop problem is rather simple. As cost of living increases every year, so does the cost of hiring a computer technician. Therefore, an expert system for laptop fault diagnostics was proposed to be developed. The objective of this study is to develop an expert system capable of diagnosing the cause of a laptop problem by analyzing user’s answers to the questions displayed by the system. The proposed system would also provide easy to follow solution to the user on how to solve the problem. The methodological approach to developing this system is by following waterfall model. There are five phases in a waterfall model, however only four phases will be executed namely requirement, design, implementation, testing phase. By using this system, user can easily identify possible root causes to their laptop problem by answering few questions related to their laptop problem. On top of that, the expert system will provide appropriate recommendation to the diagnosed laptop problem. Using this system, the time required to diagnose a computer as compared to manual diagnosis will reduce drastically. Most process in manual diagnosis will be automated and handled by the expert system. Lastly, user can save up unnecessary expenditure used to hire a computer technician.

진단전문가시스템을 이용한 한의 실습의 설문 조사를 통한 AI에 대한 인식 및 활용방안 고찰

This study conducted a questionnaire for students of Pusan National University Graduate School of Korean Medicine who practiced using the Oriental Medicine Diagnosis System (ODS). From the questionnaire, this study investigated current state of application and perception of AI in Korean Medicine and explored the direction of ODS improvement and utilization. The survey questions consisted of six questions examining the satisfaction of the diagnostic expert system, five questions evaluating the availability of the diagnostic expert system, and six questions to predict the impact of AI on the Korean medicine community. The survey analysis showed high satisfaction with practice using ODS. On the other hand, the possibility of using ODS, especially in clinical use, was evaluated as relatively low compared to the satisfaction of the practice. Therefore, the overall impact of AI on the Korean medical community is not expected to be large. Although there are difficulties in standardization of clinical data due to the academic characteristics of Korean medicine, it is necessary to continue attempts to apply AI. By actively introducing educational tools using the latest AI techniques to the diagnosis experience and doctor-patient role in a practice, students will be able to increase their satisfaction with their practice and respond appropriately to the state-of-the-art medical environment.

Development of an Expert System for Diagnostic Postcovidal Syndrome

The paper is devoted to the development of an expert system for the diagnosis of postcoid syndrome. The introduction provides basic concepts and definitions related to expert diagnostic systems. An analytical review of them is given. Due to the lack of knowledge of the problem of postcovid syndrome in the work, much attention is paid to substantiating the relevance of the issue under consideration. Based on the analysis of the considered expert diagnostic systems, it was concluded that the problem is poorly studied and its further consideration is relevant. The proposed solution provides the main functions and capabilities of the system being developed, the structural diagram of the expert diagnostic system and the description of the system architecture, provides a physical model, and describes the developed knowledge base in sufficient detail. On the basis of the developed rules of the postcovid syndrome, the rules for their scoring are formulated. When calculating the final assessment of the likelihood of diagnosis of postcovid syndrome, the likelihood of influencing the diagnosis of chronic diseases in diagnosed patients was taken into account. The calculation algorithm is described in detail. The system for diagnosing the postcovid syndrome was developed using the C# programming language, Visual Studio 2019, and implemented under the Windows OS. The data storage layer in the system is built on the basis of a modern relational DBMS - MySQL. The paper describes in detail the procedure for working with the system and the procedure for editing it. When describing the testing of the proposed diagnostic system, it is stated that the diagnostic system has passed the testing of all functions; examples of changing the rule base and editing the system are given. In conclusion, it is argued that the diagnostic system proposed by the authors will help medical specialists in determining the postcovid syndrome in patients; in particular, it helps to increase the clarity, reliability of the diagnosis and reduce the time for diagnosis.

Компьютерные программы «КОРАЛЛ»: автоматизация управления ветеринарными мероприятиями

The article presents the author’s solutions for automating the diagnosis of cattle diseases, discusses approaches to managing the planning and implementation of veterinary measures implemented in the computer programs “CORALL – Diagnosis of cattle diseases” and “CORALL – Cattle farm: Herd management”, estimates the economic efficiency of the introduction and use of automated systems. The development of specialized information systems for livestock enterprises was carried out by two developers – B.V. Lukyanov and P.B. Lukyanov (the author of the article). The presence of personal computers on farms makes it possible to transfer into specialized computer programs a significant part of the routine work on planning, accounting and control of veterinary measures, and when diagnosing animal diseases, computers make it possible to actively use automated diagnostic expert systems. The introduction of modern information technologies into the practice of the zootechnician and veterinarian significantly increases the accuracy and validity of measures to protect animals and prevent diseases, and also allows to achieve more effective management of operational activities with herd animals. The use of the expert system «CORALL – Diagnosis of cattle diseases» is disclosed. This system is focused on two types of users: an Expert who fills in the knowledge base, and a User who uses the system for diagnosing diseases and obtaining certificates. When considering the software package «CORALL – Cattle farm: Herd management», the main attention is paid to the functions of planning, control and registration of veterinary measures both for an individual animal and for a planned group. Practical recommendations are given on the use of CORALL software systems when using them at livestock enterprises.

Information technology improving the efficiency of emergency doctors

At the present stage of development of society, one of the most important areas is information technology. Every year the amount of information is constantly increasing, forcing you to spend more and more time and labor on your processing. In this regard, modern automated information systems are becoming more and more necessary, able to process input information in a short time and provide it in a convenient form that allow rational and accessible storage of used information. The introduction of information technology has also begun to be used in medical institutions. To do this, you need to move to a more modern level of computer technology. It is computer technology that helps to increase the speed of personnel management and the preparation of paper documentation. Establishment of an expert-diagnostic system, the main task of which is to obtain information based on the list of symptoms of the patient, and to establish the most probable disease that corresponds to the patient's state of health. The objectives of the development are: to remove the factor of human error in diagnosis, increase the percentage of correctly diagnosed, facilitate the process of diagnosis by symptoms, increase patients' trust in doctors, increase the speed of diagnosing patients. The created system has all the capabilities necessary for efficient and fast management of ambulance workers. It contains all the basic tools you may need to function properly, generate reports for the required period, register new employees (users), set up an individual work schedule and receive patients, manage received calls, administer and control vehicles. The WEB interface of the «Reception Manager» was created for the application software interface to be able to coordinate and direct free machines to the specified calls. During the theoretical analysis, the general structure of the system was presented, which includes an application programming interface (API) with web-interfaces, which is divided into several main roles: the role of «Reception Manager», the role of «Direction Manager», the role of «Patient». The system will significantly speed up the work of ambulances by taking over almost all the work on communication between employees and document management, as well as patient management. Collectively, the developed systems will be able to significantly increase the speed and efficiency of doctors.

Theoretical principles for the diagnostic support development for transport and technological machines

Three theoretical principles of developing the diagnostic support for technical objects of diagnosis are formulated, namely: the principle of dominance - knowledge about the set of possible defects of the diagnosis object is dominated by all other types of diagnostic knowledge; the principle of five systemic representations of the diagnostic object - in the problem of finding defects with maximum depth, in the general case, knowledge of the external, degradation, and structural representations of the diagnostic object is necessary; compliance principle - the operational reliability of the diagnostic object is to be supported by an effective maintenance system corresponding to it. The main goal of the work is to establish the interdependence between these principles. In addition, the listed principles are analysed in relation to the main diagnostic tasks and various classes of technical objects of diagnosis, and are also recommended for use in the development of diagnostic support for technical systems, including the development and maintenance of the diagnostic expert systems.

Diabetic Retinopathy Diagnosing using Fuzzy Image Processing

Aim: To design diagnostic expert system using fuzzy image processing for diabetic retinopathy, measures diabetic eye morbidity. Method: From this research paper, diagnosing diabetic retinopathy using fuzzy image processing for diabetic patients. Firstly collection of OCT images of the patient who has diabetic retinopathy. Author’s proposed method finds out the edge detection of the OCT image. Then fuzzy logic is applied on that result of image processing. Design a fuzzy rules and input- output parameter. This method gives accurate diagnosing the diabetic retinopathy from the image of the patient’s retina images. Result: This diagnostic system gives patient’s eye morbidity, vision threatening of the diabetic patients. In the result, edges of the retina images, and from that retinal ruptures, thickness of the proliferative in the retina. From these result, diagnostic of diabetic retinopathy conditions such as PDR, NPDR, and NORMAL, and CSME in the diabetic patients. Conclusion: author has design diagnostic system for endocrinologist and ophthalmology to diagnosed diabetic retinopathy in the patients. From this system doctors don’t need patients for diagnosing purposed.

An expert system for diagnostics and estimation of steam turbine components’ condition

An expert system for diagnostics and estimation of steam turbine components’ condition

On Designing an Expert Diagnostic System of the Aircraft Turbine Engine Functional Units

Abstract The paper presents issues related to the design of an expert diagnostic system of turbine engine functional units. Dedicated diagnostic stations and on-board flight data recorders are the sources of diagnostic signals. The signals were parameterized or identified dynamic models to get a compact representation in the form of a set of parameters. The set of diagnostic parameters was subjected to integer encoding. On this basis, a multi-valued diagnostic model describing the relationship between the set of faults and the set of symptoms (code values of diagnostic parameters) was determined. The proposed approach can be used in the design of expert diagnostic systems for propulsion units of any aircraft.

SISTEM PAKAR DIAGNOSA PENYAKIT SALURAN PERNAFASAN DENGAN METODE FUZZY TSUKAMOTO

Respiratory diseases are one of the most common diseases in Indonesia. Respiratory diseases increase the risk of fatal if not treated immediately. However, it is unfortunate that knowledge about the risk of respiratory disease is still lacking. The search method used in making this expert system is forward chaining with binary tree structure. Namely doing the processing of a set of data, then conducted inference in accordance with the rules applied to find the optimal conclusion. Experts provide rules for determining symptoms and illness. While the calculation and ranking of diseases that may suffer patients using the method fuzzy tsukamoto to provide the results of calculations that are certain based on the parameters. Then the patient's diagnostic process is done by the system. The Diagnostic Expert System for Respiratory Disease has been successfully established and can be used to assist in estimating the illness suffered by the patient as the result of the developed system is not much different from the running system. Based on the comparison of disease diagnosis result in expert system with manual system then the system accuracy level is 90,9%. Based on the website view has the largest percentage of 71.42 in good description, for user friendly / ease of respiratory system experts get the largest percentage of 85.71 in good information, to assist in the process of disease information and treatment get the largest percentage of 57.14 in a good description, to help the diagnosis process becomes easier to get the largest percentage of 71.42 in good information, for this expert system provides information on respiratory disease treatment accurately get the largest percentage of 57.14 in either.

Expert system to diagnose child development growth disorders with forward chaining method

Growth and development in children determine quality throughout their lives. The lack of understanding of parents about the importance of child development makes parents often ignore a situation or disease that occurs in their children. For this reason, an expert system is needed using the forward chaining method in reasoning to the knowledge base, which can help parents to know the growth problems experienced by their children based on the symptoms found in children. In its development, the expert diagnostic system for child development disorders is implemented using PHP and MySQL programming as the database. After this expert system is implemented, the system can diagnose 5 disorders of child development (Autism, Asperger syndrome, attention deficit disorders and Hyperactivity, Down syndrome, and mental retardation) especially in children aged 6 - 12 years.