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首页> 外文会议>IEEE International Conference on e-Health Networking, Applications and Services >Outline of the construction and application of a GFO-based TCM diagnoses ontology for syndrome differentiation of psoriasis vulgaris
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Outline of the construction and application of a GFO-based TCM diagnoses ontology for syndrome differentiation of psoriasis vulgaris

机译：基于GFO的中医诊断寻常型银屑病辨证论纲的构建与应用概述

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摘要

Psoriasis is a chronic, recurrent, inflammatory skin disease, with varied incidence rates for various populations in different regions of the world. According to statistics, the prevalence of psoriasis in European countries is about 1% ~ 3%, and 0.47% for China in 2008, which appears on the rise year by year. [1,2] Evidence suggests that genetic and environmental factors play important roles in the pathogenesis of psoriasis [1,2], but its exact etiology and pathogenesis are still unclear. Traditional Chinese medicine (TCM) treatment, based on syndrome differentiation, has a long history in treating this disease and achieved a significant effect in practice [3,4]. However, few studies on intelligent knowledge-based system (KBS), based on TCM treatment, for automatic reasoning and semantic retrieval have been reported, but much less for mature products supporting clinical practice. In order to inherit and develop the excellent tradition of TCM, with psoriasis as a use case, a knowledge base of psoriasis disease was tried to be constructed based on TCM Ontology combined with ontology, knowledge base and disease knowledge related to psoriasis in this paper, which can provide references for the construction of a shared and reusable diagnosis knowledge-base for the psoriasis diagnosis system of TCM experts.
机译：牛皮癣是一种慢性，反复发作的炎症性皮肤病，在世界不同地区的不同人群中，其发病率各不相同。据统计，2008年欧洲国家牛皮癣的患病率约为1％〜3％，中国为0.47％，且呈逐年上升趋势。 [1,2]证据表明，遗传和环境因素在牛皮癣的发病机理中起着重要作用[1,2]，但其确切病因和发病机理仍不清楚。基于中医辨证论治的中医治疗历史悠久，在实践中取得了显著成效[3,4]。然而，很少有关于基于中医治疗的基于智能知识的系统（KBS）用于自动推理和语义检索的研究的报道，但是针对支持临床实践的成熟产品的研究则很少。为了继承和发展以牛皮癣为用例的中医优良传统，本文尝试结合中医本体论，与牛皮癣相关的知识，知识库和疾病知识，构建牛皮癣疾病知识库，可以为中医银屑病诊断系统的共享和可重复使用的诊断知识库的建设提供参考。

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