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Developing an Ontology for Encoding Disease Treatment Information in Medical Abstracts

机译:开发用于在医学摘要中编码疾病治疗信息的本体

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A disease-treatment ontology is being developed to model and represent treatment information found??in medical abstracts. Treatment information extracted from medical abstracts and medical articles can??then be encoded in this ontology and used for information retrieval, question-answering, summarisation??and knowledge discovery. This paper explains the initial version of the ontology developed based on an??analysis of 50 medical abstracts on colon cancer therapy retrieved from the Medline database. The??ontology divides disease-treatment information into five classesa??disease, treatment, condition, effect,??and evidence. The sub-classes, properties and instances of these main classes are discussed with examples. http://dx.doi.org/10.14429/djlit.31.2.862.
机译:正在开发一种疾病治疗本体,以建模和表示医学摘要中发现的治疗信息。从医学摘要和医学文章中提取的治疗信息可以“编码”在该本体中,并用于信息检索,问题解答,总结和知识发现。本文解释了基于从Medline数据库检索的50篇关于结肠癌治疗的医学摘要的分析而开发的本体的初始版本。本体论将疾病治疗信息分为五类:疾病,治疗,状况,效果和证据。通过示例讨论这些主要类的子类,属性和实例。 http://dx.doi.org/10.14429/djlit.31.2.862。

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