基于深度学习的用户健康词表构建方法研究  

Study on the Construction Method of Consumer Health Vocabulary Based on Deep Learning

作　　者：尹延鑫 李传富[2] YIN Yanxin;LI Chuanfu(Anhui University of Chinese Medicine,Hefei 230012,China;The First Affiliated Hospital of Anhui University of Chinese Medicine,Hefei 230012,China)

机构地区：[1]安徽中医药大学,合肥230012 [2]安徽中医药大学第一附属医院,合肥230012

出　　处：《医学信息学杂志》2020年第8期29-33,共5页Journal of Medical Informatics

基　　金：合肥市自主创新政策“借转补”资金项目(医疗卫生项目)“基于深度学习的肺癌智能诊断系统研制与应用示范”(项目编号:YW201710120004)。

摘　　要：对基于深度学习的用户健康词表构建方法进行系统探索,阐述实验工具、过程及结果,对利用深度学习方法构建用户健康词表的适用性、结果影响因素进行探讨,指出该方法具有较高适用性但尚待提高应用成熟度。The paper makes a systematic exploration of the construction method of Consumer Health Vocabulary(CHV)based on Deep Learning(DL),elaborates the experimental tools,process and results,discusses the applicability and results influencing factors of constructing CHV by using DL method,and points out that this method has high applicability but still needs to improve its application maturity.

关 键 词：深度学习 文本挖掘 用户健康词表 Word2vec 

分 类 号：R-056[医药卫生]