The Development of a Cardiological Ontology to Describe Medical, Genetic and Pharmaceutical Entities and Interplay

Artemis Chaleplioglou, M. Poulos, S. Papavlasopoulos
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引用次数: 1

Abstract

Cardiovascular diseases remain the predominant cause of morbidity and mortality worldwide. As the biomedical data are rapidly accumulated in the web, the retrieval of information by the specialists becomes challenging. The Semantic web represent the solution, through the transformation of existing data with ontologies that describe their concepts in explicit detail, into machine-readable, understandable and logical processable multifunctional metadata. Herein, using bibliographic reasoning, we present a cardiological ontology in the form of N-triples that facilitates the interplay between three scientific subdomains: (i) clinical, including anatomy, physiology and pathology; (ii) basic biological, including genes, proteins and biochemical pathways; and (iii) therapeutical cardiology, including surgical and pharmacological interventions. This Semantic research approach is anticipated to produce integrated answers into complex cardiovascular biology problems such as disease risks and genotype, combinatory therapeutics and genotype, translational and personalized medicine, while it may serve as a road map for similar applications in other scientific domains.
描述医学、遗传和药物实体及其相互作用的心脏病学本体的发展
心血管疾病仍然是全世界发病率和死亡率的主要原因。随着生物医学数据在网络上的快速积累,专家对信息的检索变得具有挑战性。语义网代表了解决方案,通过将现有的数据与明确详细描述其概念的本体转换为机器可读、可理解和逻辑可处理的多功能元数据。在这里,使用书目推理,我们以n -三元组的形式提出了一个心脏病学本体,促进了三个科学子领域之间的相互作用:(i)临床,包括解剖学,生理学和病理学;(ii)基础生物学,包括基因、蛋白质和生化途径;治疗性心脏病学,包括手术和药物干预。这种语义研究方法有望为复杂的心血管生物学问题提供综合答案,如疾病风险和基因型,组合治疗和基因型,转化和个性化医学,同时它可能作为其他科学领域类似应用的路线图。
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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