Identifying Disease Definitions with a Correlation Kernel for Symptom Extractions from Text

机译：用相关核来鉴定疾病定义，用于从文本中提取症状提取

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Since most health-related knowledge is created by experts, it is not easy for general public to access, understand, and utilize such knowledge in daily living. It would be most convenient and useful to a healthcare knowledge base that a user can easily start exploring from symptoms and arrive at candidate diseases and eventually obtain knowledge for treatment and prevention. We have embarked on a project whose goal is to build such a healthcare knowledge base from text by using natural language processing and text mining techniques. This paper focuses on how definition sentences can be detected and describes a method of ranking sentences based on the degree to which they contain definitions of diseases, which should contain symptom information. While our work is basically to build a classifier that identifies definition sentences, the main contribution lies in the development of a new kernel method that utilizes correlations among different types of tokens. We evaluated our method to arrive at a conclusion that the proposed method can be very effective with a training data that is almost an order of magnitude smaller than the method of using dependency parser.

机译：由于大多数健康相关知识由专家创建，因此公众不容易访问，理解和利用日常生活中的这些知识。对于医疗保健知识库来说，用户可以轻松开始从症状探索并到达候选疾病并最终获得治疗和预防知识是最方便的。我们已经开始了一个项目，其目标是通过使用自然语言处理和文本挖掘技术从文本建立这样的医疗保健知识库。本文重点介绍如何检测句子，并根据它们包含疾病定义的程度来描述句子的方法，这应该包含症状信息。虽然我们的工作基本上建立了一个识别定义句子的分类器，但主要贡献在于开发利用不同类型令牌之间的相关性的新内核方法。我们评估了我们的方法，得出结论，即所提出的方法可以非常有效地对几乎比使用依赖解析器的方法小的数量级的训练数据非常有效。

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《IEEE International Conference on Healthcare Informatics》|2014年||共8页
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Minsu Ko; Sung-Hyon Myaeng;
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正文语种
中图分类生物医学工程;
关键词
colligation; collocation; correlation kernel; definition sentence; symptom extraction;

机译：区集;搭配;相关性核;定义句;症状提取;

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1. Designing of an efficient algorithm for identifying Abbreviation definitions in biomedical Text [J] . Shashank Singh, Gaurav Sharma Abdul Nazeer K A, Shalini Singh International Journal of Computer Science & Information Technology (IJCSIT) . 2013,第3期

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2. The heart in Friedreich ataxia: Definition of cardiomyopathy, disease severity, and correlation with neurological symptoms [J] . WeidemannF., RummeyC., BijnensB., Circulation: An Official Journal of the American Heart Association . 2012,第13期

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3. Social relation extraction from texts using a support-vector-machine-based dependency trigram kernel [J] . Maengsik Choi, Harksoo Kim Information Processing & Management . 2013,第1期

机译：使用基于支持向量机的依存关系三元组核从文本中提取社会关系
4. Identifying Disease Definitions with a Correlation Kernel for Symptom Extractions from Text [C] . Minsu Ko, Sung-Hyon Myaeng IEEE International Conference on Healthcare Informatics . 2014

机译：使用相关内核从文本中提取症状来识别疾病定义
5. Study of Sequential Accelerated Solvent Extraction of Different Depths of Oak Tank Staves, Affected by Three Different Heat Sources, Analyzed by Gas Chromatography-Mass Spectrometry and Correlations to Sensory Descriptive Analysis of Their Model Wine Extractions. [D] . Llodra, David. 2013

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6. DEFINDER: Rule-based Methods for the Extraction of Medical Terminology and their Associated Definitions from On-line Text [O] . Judith L. Klavans, Smaranda Muresan 2000

机译：定义：从在线文本中提取医学术语及其相关定义的基于规则的方法
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Identifying Disease Definitions with a Correlation Kernel for Symptom Extractions from Text

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