DEVELOPMENT OF THE STRUCTURE OF AN AUTOMATED SYSTEM FOR DIAGNOSING DISEASES

Today, the importance of information support for various medical technologies has increased significantly. The use of modern information technologies is becoming a critical factor in the development of most branches of knowledge and areas of practice, so the development and implementation of informa...

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Main Authors: Alua Myrzakerimova, Katerina Kolesnikova, Mugulsum Nurmaganbetova
Format: Article
Language:English
Published: Astana IT University 2022-12-01
Series:Scientific Journal of Astana IT University
Subjects:
Online Access:http://journal.astanait.edu.kz/index.php/ojs/article/view/255/101
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author Alua Myrzakerimova
Katerina Kolesnikova
Mugulsum Nurmaganbetova
author_facet Alua Myrzakerimova
Katerina Kolesnikova
Mugulsum Nurmaganbetova
author_sort Alua Myrzakerimova
collection DOAJ
description Today, the importance of information support for various medical technologies has increased significantly. The use of modern information technologies is becoming a critical factor in the development of most branches of knowledge and areas of practice, so the development and implementation of information systems is an urgent task. The clinical decision support system provides clinicians and stakeholders with individualized patient assessments and recommendations to assist in the clinical decision-making process. Knowledge-based information systems are widely used in medicine around the world. Modern technical capabilities make it possible to reach a qualitatively new level of presentation of the course of the disease, namely, based on appropriate mathematical models, to model the typical development of the pathological process in a particular disease, to speed up the process of diagnosing and receiving recommendations on treatment protocols. In Kazakhstan, there is no variety of decision support systems in medicine, especially in the process of diagnosing diseases. The purpose of this study is to develop the structure of an automated system for diagnosing diseases. The Unified Modeling Language (UML) is used as a design tool. The structure of the automated system is presented; the main components and key terms are considered. A mathematical model of diagnostics is shown (in the example of diseases of intestinal and pancreatic insufficiency) based on decision-making methods with fuzzy initial data. A diagram of the data flows of the system is presented. Thus, the paper proposes the structure of an automated system that will contribute to high-quality diagnostics due to an effective method of system organization and the use of fuzzy set theory methods.
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spelling doaj.art-42cf48e9321d401d9594a8ee00ad24db2023-03-02T10:19:27ZengAstana IT UniversityScientific Journal of Astana IT University2707-90312707-904X2022-12-011210111210.37943/12AVGE4585DEVELOPMENT OF THE STRUCTURE OF AN AUTOMATED SYSTEM FOR DIAGNOSING DISEASESAlua Myrzakerimova0https://orcid.org/0000-0002-8500-1672Katerina Kolesnikova1https://orcid.org/0000-0002-9160-5982Mugulsum Nurmaganbetova2https://orcid.org/0000-0002-6911-9742International IT UniversityInternational IT UniversityS. Asfendiyarov Kazakh National Medical UniversityToday, the importance of information support for various medical technologies has increased significantly. The use of modern information technologies is becoming a critical factor in the development of most branches of knowledge and areas of practice, so the development and implementation of information systems is an urgent task. The clinical decision support system provides clinicians and stakeholders with individualized patient assessments and recommendations to assist in the clinical decision-making process. Knowledge-based information systems are widely used in medicine around the world. Modern technical capabilities make it possible to reach a qualitatively new level of presentation of the course of the disease, namely, based on appropriate mathematical models, to model the typical development of the pathological process in a particular disease, to speed up the process of diagnosing and receiving recommendations on treatment protocols. In Kazakhstan, there is no variety of decision support systems in medicine, especially in the process of diagnosing diseases. The purpose of this study is to develop the structure of an automated system for diagnosing diseases. The Unified Modeling Language (UML) is used as a design tool. The structure of the automated system is presented; the main components and key terms are considered. A mathematical model of diagnostics is shown (in the example of diseases of intestinal and pancreatic insufficiency) based on decision-making methods with fuzzy initial data. A diagram of the data flows of the system is presented. Thus, the paper proposes the structure of an automated system that will contribute to high-quality diagnostics due to an effective method of system organization and the use of fuzzy set theory methods.http://journal.astanait.edu.kz/index.php/ojs/article/view/255/101it in medicinedecision support systemautomated system for diagnosing diseasesautomated system structure and diagrams
spellingShingle Alua Myrzakerimova
Katerina Kolesnikova
Mugulsum Nurmaganbetova
DEVELOPMENT OF THE STRUCTURE OF AN AUTOMATED SYSTEM FOR DIAGNOSING DISEASES
Scientific Journal of Astana IT University
it in medicine
decision support system
automated system for diagnosing diseases
automated system structure and diagrams
title DEVELOPMENT OF THE STRUCTURE OF AN AUTOMATED SYSTEM FOR DIAGNOSING DISEASES
title_full DEVELOPMENT OF THE STRUCTURE OF AN AUTOMATED SYSTEM FOR DIAGNOSING DISEASES
title_fullStr DEVELOPMENT OF THE STRUCTURE OF AN AUTOMATED SYSTEM FOR DIAGNOSING DISEASES
title_full_unstemmed DEVELOPMENT OF THE STRUCTURE OF AN AUTOMATED SYSTEM FOR DIAGNOSING DISEASES
title_short DEVELOPMENT OF THE STRUCTURE OF AN AUTOMATED SYSTEM FOR DIAGNOSING DISEASES
title_sort development of the structure of an automated system for diagnosing diseases
topic it in medicine
decision support system
automated system for diagnosing diseases
automated system structure and diagrams
url http://journal.astanait.edu.kz/index.php/ojs/article/view/255/101
work_keys_str_mv AT aluamyrzakerimova developmentofthestructureofanautomatedsystemfordiagnosingdiseases
AT katerinakolesnikova developmentofthestructureofanautomatedsystemfordiagnosingdiseases
AT mugulsumnurmaganbetova developmentofthestructureofanautomatedsystemfordiagnosingdiseases