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Ontology based data warehouse modeling and managing ecology of human body for disease and drug prescription management

机译:基于本体的数据仓库建模与人体疾病和药物处方管理的生态学

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Health care sector is currently experiencing a major crisis with information overload. With the increasing prevalence of chronic diseases and the ageing population the amount of paper-work is more than ever before. In the US, a hospital admission of one patient generates an estimate of 60 pieces of paper. The federal governments of various countries have passed policies and initiatives that focus on introducing information systems into the health care sector. Technology will immensely reduce the cost of managing patients and even reduce the risks of mis-diagnosing and prescribing incorrect medications to patients. This paper primarily focuses on introducing the concept of ontology based warehouse modelling and managing ecology of human body for disease and drug prescription management. Disorders of the human body and factors such as the patient's age, living and working conditions, familial and genetic influences can be simulated into Metadata in a warehousing environment. In this environment, various relationships are identified and described between these factors and the diseases. Secondly, we also introduce ontological representation of the various human body systems such as the digestive, musculoskeletal and nervous system in disease processes. Although this is an extensive and complex knowledge domain, the work in this paper is one of the first to attempt to introduce the use of ontology based data warehousing and data mining conceptually. We also aim at implementing and applying this research in practice.
机译:医疗保健部门目前正在经历具有信息超载的主要危机。随着慢性病的患病率越来越慢,衰老人口造纸的数量比以往任何时候都更多。在美国,入院的一名患者的入学会产生60片纸张的估计。各国的联邦政府已通过政策和倡议,专注于将信息系统引入医疗保健部门。技术将完全降低管理患者的成本,甚至可以减少对患者的错误诊断和规定不正确的药物的风险。本文主要侧重于介绍基于本体论的仓库建模概念,疾病和药物处方管理的人体生态学。人体的障碍和患者年龄,生活和工作条件等因素可以在仓储环境中模拟到元数据中。在这种环境中,在这些因素和疾病之间识别和描述各种关系。其次,我们还引入了各种人体系统的本体论代表,例如疾病过程中的消化,肌肉骨骼和神经系统。虽然这是一个广泛且复杂的知识域,但本文的工作是首次尝试概念基于本体的数据仓库和数据挖掘的使用之一。我们还旨在在实践中实施和应用这项研究。

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