MedEx/J: A One-Scan Simple and Fast NLP Tool for Japanese Clinical Texts

摘要：

　　Because of recent replacement of physical documents with electronic medical records (EMR), the importance of information processing in the medical field has increased. In light of this trend, we have been developing MedEx/J, which retrieves important Japanese language information from medical reports. MedEx/J executes two tasks simultaneously: (1) term extraction, and (2) positive and negative event classification. We designate this approach as a one-scan approach, providing simplicity of systems and reasonable accuracy. MedEx/J performance on the two tasks is described herein:(1) term extraction (F β=1 = 0.87) and (2) positive- negative classification (F β=1= 0.63). This paper also presents discussion and explains remaining issues in the medical natural language processing field.

关键词： Medical Informatics Natural Language Processing

作者: Eiji Aramaki Ken Yano Shoko Wakamiy

作者单位: Nara Institute of Science and Technology (NAIST),Japan

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: 285-288

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）