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An Automatic Approach for Constructing a Knowledge Base of Symptoms in Chinese

机译:构建症状知识库的自动方法

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While a large number of well-known knowledge bases (KBs) in life science have been published as Linked Open Data, there are few KBs in Chinese. However, KBs of life science in Chinese are necessary when we want to automatically process and analyze electronic medical records (EMRs) in Chinese. Of all, the symptom KB in Chinese is the most seriously in need, since symptoms are the starting point of clinical diagnosis. Furthermore, expressions used in describing symptoms in clinical practice are diverse, which makes it hard to collect such a KB. In this paper, we publish a public KB of symptoms in Chinese. The KB is constructed by fusing data automatically extracted from eight mainstream healthcare websites, three Chinese encyclopedia sites, and symptoms extracted from a large number of EMRs as supplements. As a result, the KB has more than 26,000 distinct symptoms in Chinese including 3,968 symptoms in traditional Chinese medicine (TCM) and 1,029 synonym pairs for symptoms. The KB also includes concepts such as diseases and medicines as well as relations between symptoms and the above related entities. We also link our KB to the Unified Medical Language System (UMLS) and analyze the differences between symptoms in the two KBs. We released the KB as Linked Open Data and a demo at https://datahub.io/ dataset/ symptoms- in- chinese.
机译:虽然生命科学中大量知名知识库(KBS)已被公布为链接开放数据,但仍有很少的kBs中文。然而,当我们想自动处理和分析中文电子医疗记录(EMRS)时,汉语生命科学kbs是必要的。其中,中文症状KB是最严重的需要,因为症状是临床诊断的起点。此外,用于描述临床实践中症状的表达是多种多样的,这使得难以收集这种KB。在本文中,我们在中文发布公共KB症状。 KB是通过融合数据构建的,自动从八个主流医疗保健网站,三个中文百科全书网站,从大量EMR中提取的症状作为补充剂。因此,KB中的kB有超过26,000个不同的症状,包括中医(TCM)的3,968个症状和1,029对症状。 KB还包括诸如疾病和药物等概念以及症状与上述相关实体之间的关系。我们还将KB链接到统一的医疗语言系统(UMLS),并分析两kBs中症状之间的差异。我们将KB称为链接的开放数据和HTTPS://Datahub.io/ DataSet /症状的演示。

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