Ankara University, Dept. of Medical Education and Informatics, Ankara, Turkey.
Comput Biol Med. 2010 Nov-Dec;40(11-12):900-11. doi: 10.1016/j.compbiomed.2010.10.002. Epub 2010 Oct 20.
This paper describes an information extraction system that extracts and converts the available information in free text Turkish radiology reports into a structured information model using manually created extraction rules and domain ontology. The ontology provides flexibility in the design of extraction rules, and determines the information model for the extracted semantic information. Although our information extraction system mainly concentrates on abdominal radiology reports, the system can be used in another field of medicine by adapting its ontology and extraction rule set. We achieved very high precision and recall results during the evaluation of the developed system with unseen radiology reports.
本文描述了一个信息提取系统，该系统使用手动创建的提取规则和领域本体，从土耳其语放射学报告的自由文本中提取并转换可用信息，构建成结构化信息模型。本体为提取规则的设计提供了灵活性，并确定了提取语义信息的信息模型。虽然我们的信息提取系统主要集中在腹部放射学报告上，但通过调整其本体和提取规则集，该系统也可以应用于医学的其他领域。在使用未见过的放射学报告对开发系统进行评估时，我们获得了非常高的精度和召回率结果。
