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中文中医本体自动扩展的定量研究

     

摘要

目的:对利用新的知识源自动扩展中文中医本体进行定量研究。方法基于中医医疗术语及术语间的关系构建实验用的本体,利用中医药学术论文中提及的病例作为知识源扩展本体,并用作测试集来评测本体扩展前后的质量。结果包含41652个实例的本体可以通过3000个诊次的医疗信息扩展,对真实临床应用出现的疾病名称的覆盖率由52.3%增至72.4%,证候名称覆盖率由14.8%增至55.8%,药物名称覆盖率由13.7%增至54.8%,治法名称覆盖率由25.8%增至77.2%。结论利用学术论文中提及的病例作为新知识源来自动扩展本体可以显著增加本体的覆盖率。%Objective To conduct a quantitative study on the automatic expansion of Chinese TCM ontology with new knowledge sources. Methods The experimental Chinese TCM ontology was built based on TCM terms and relationships among different terms. Medical cases in TCM academic papers were set as knowledge sources for expansion of ontology. These cases were used as testing sets to evaluate the quality of the ontology before and after expansion. Results Ontology with 41,652 cases could be expanded through information in 3000 clinical visits. The coverage of this ontology on disease names in real clinical application increased from 52.3%to 72.4%, syndrome names from 14.8% to 55.8%, medicine names from 13.7% to 54.8%, and TCM therapy names from 25.8%into 77.2%. Conclusion Using medical cases in TCM acajemic papers as the new knowledge sources for automatic expansion of ontology can significantly increase ontology coverage.

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