OBESTDD: Ontology Based Expert System for Thyroid Disease Diagnosis

2015 International Conference on Nascent Technologies in the Engineering Field (ICNTE) Pub Date : 2015-02-05 DOI:10.1109/ICNTE.2015.7029914

Vipula Rawte, Bidisha Roy

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引用次数: 12

Abstract

This study presents a new approach in developing an ontology based expert system to diagnose thyroid diseases. Ontology represents explicit specification of knowledge in a specific domain of interest in the form of concepts and relations among them. Its merit is that the represented knowledge is both computer and human readable. The adoption of ontology in healthcare has facilitated domain experts and non-experts to perform knowledge representation tasks with great ease. This paper presents an ontology describing the domain of thyroid diseases and its symptoms. The thyroid gland is one of the most important organs in the body since it is responsible for controlling metabolism. Thyroid disease can be difficult to diagnose because symptoms are easily confused with other conditions. This study proposes at diagnosing thyroid diseases with an ontology based expert system called as OBESTDD (Ontology Based Expert System for Thyroid Disease Diagnosis). It uses ontology to model the contents of domain knowledge and rules to infer the related diagnosis.

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基于本体的甲状腺疾病诊断专家系统

本研究提出了一种基于本体的甲状腺疾病诊断专家系统的新方法。本体论以概念和概念之间的关系的形式表示对特定领域知识的明确说明。它的优点是所表示的知识是计算机和人类可读的。在医疗保健领域采用本体，使领域专家和非专家能够轻松地执行知识表示任务。本文提出了一个描述甲状腺疾病及其症状领域的本体。甲状腺是人体最重要的器官之一，因为它负责控制新陈代谢。甲状腺疾病很难诊断，因为症状很容易与其他疾病混淆。本研究提出了一种基于本体的甲状腺疾病诊断专家系统OBESTDD (ontology based expert system for thyroid Disease Diagnosis)。它利用本体对领域知识的内容进行建模，利用规则对相关诊断进行推理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2015 International Conference on Nascent Technologies in the Engineering Field (ICNTE)

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