A Hybrid Method for ICD-10 Auto- Coding of Chinese Diagnoses

摘要：

　　The Chinese Version of Classification and Codes of Diseases (CCD) is an expanded version of ICD-10. Hospitals are required to assign CCD codes to discharge diagnoses in China. To handle the contradiction between a shortage of skilled CCD coders and increasing coding efficiency, a CCD auto-coding method is urgently needed. In this study a hybrid auto-coding method was proposed based on the lexical characteristics obtained through the analysis of a corpus of 1537 diagnoses with normative CCD code. It combines the rule-based approach, the Chinese characters-based distributed semantic similarity and the dictionary-based approach. The rule-based approach was proved to be efficient and precise at the cost of time and manpower. The semantic similarity approach shows poor performance. The old-fashioned dictionary-based approach ends in leading significance. The final accuracy of this hybrid approach is 96.9% in the test.

关键词： International Classification of Diseases Clinical Coding China

作者: Zheng Jia Weifeng Qin Huilong Duan Xudong Lv Haomin Li

作者单位: College of Biomedical Engineering and Instrument Science,Zhejiang University,Hangzhou,China The Childrens Hospital,Zhejiang University,Hangzhou,China;The Institute of Translational Medicine,Z

会议类型: 国际会议

会议名称: 第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)

会议地点: 苏州

会议语种:英文

页码: 427-431

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）