HEPO:外延医学诊断系统的肝炎本体

Asma Khan, Azeema Sadia, Sohaib Ahmed, H. Tabassum, M. Khan
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引用次数: 1

摘要

本体的使用在许多领域都很普遍,特别是在医疗诊断系统中。本体展示的特性包括知识表示、可重用性、共享和逻辑推理支持。因此,本体驱动的医疗诊断系统可以帮助医生确定最可能的患者诊断。传统上,这些系统使用演绎或归纳推理的方式来协助医生。然而,文献中对溯因推理的探讨较少。此外,许多本体论已被开发用于诊断疾病,如糖尿病、癌症、慢性和炎症。然而,在文献中没有发现这样的本体论,涉及肝炎疾病。因此,在本文中,肝炎本体“HEPO”已经开发并验证了设计外展医疗诊断系统。
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HEPO: The hepatitis ontology for abductive medical diagnostic systems
The use of the ontologies has been prevalent in many domains especially in medical diagnostic systems. Ontologies exhibit features including knowledge representation, reusability, sharing, and logical reasoning support. Thus ontology-driven medical diagnostic systems can assist physicians in order to determine the most probable diagnosis of the patients. Traditionally, these systems have used deductive or inductive way of reasoning for assisting physicians. Nevertheless, the abductive reasoning has less explored in the literature. Further, numerous ontologies have been developed for diagnoses diseases such as diabetes, cancer, chronic and inflammatory. However, no such ontology was found in the literature that deals with a hepatitis disease. Hence, in this paper, the hepatitis ontology ‘HEPO’ has been developed and validated for designing abductive medical diagnostic systems.
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