Ontology Based Multi Parameter Disease Diagnosis Model

Chronic diseases are long lasting diseases with complex causes and many risk factors. Chronic diseases cause functional impairments. Most Chronic diseases cannot be cured completely and some diseases can be immediately life threatening like heart stroke and some diseases stays for long time and needs continues management such as diabetes which may causes even death. Most of the chronic diseases will stay for long time but may not be a cause of death such as arthritis. According WHO chronic diseases kills 41 million people each year which is 74% of all deaths globally. Out of these total deaths 77% are from low- and middle-income countries. To prevent or control these diseases and minimize the losses or to minimize the budgets allotted by the governments to handle these diseases a special care has to be taken. The patients need to be aware of these diseases and continues monitoring is required. In this paper we discuss various fields in healthcare where semantic web can be used to handle the issues of chronic diseases. We have constructed an Ontology based model for diagnosing two chronic diseases namely heart stroke and diabetes. We have validated our model by using AI based symptom checkers.

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Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-03-20
DOI
https://doi.org/10.52783/jisem.v10i3.7185
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
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article

Ontology Based Multi Parameter Disease Diagnosis Model

Md. Gulzar
Journal of Information Systems Engineering & Management
Artificial Intelligence in Healthcare
article

Ontology Based Multi Parameter Disease Diagnosis Model

Md. Gulzar
article en

Abstract

Chronic diseases are long lasting diseases with complex causes and many risk factors. Chronic diseases cause functional impairments. Most Chronic diseases cannot be cured completely and some diseases can be immediately life threatening like heart stroke and some diseases stays for long time and needs continues management such as diabetes which may causes even death. Most of the chronic diseases will stay for long time but may not be a cause of death such as arthritis. According WHO chronic diseases kills 41 million people each year which is 74% of all deaths globally. Out of these total deaths 77% are from low- and middle-income countries. To prevent or control these diseases and minimize the losses or to minimize the budgets allotted by the governments to handle these diseases a special care has to be taken. The patients need to be aware of these diseases and continues monitoring is required. In this paper we discuss various fields in healthcare where semantic web can be used to handle the issues of chronic diseases. We have constructed an Ontology based model for diagnosing two chronic diseases namely heart stroke and diabetes. We have validated our model by using AI based symptom checkers.

Journal of Information Systems Engineering & ManagementVol. 10(3)
Openalex Percentile: Top 90%
Artificial Intelligence in Healthcare
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