摘要
分别运用Word2vec和BP神经网络算法以及两者混合对300份长病历数据进行症状信息的分类抽取,旨在解决医学病历症状信息自动分类问题,结果表明采用两种方法混合处理能够得到更好的效果。
By making use of Word2vec,BP neural network algorithm and the method mixing the both,respectively,the classifica- tion extraction on data of 300 long medical records based on data of symptoms has been implemented,which aims to solve the automatic classification of data of symptoms in medical records.Results show that effect of mixing the two methods in process is better.
作者
叶辉
卓奕荣
肖志毅
吴瑞源
YE Hui;ZHUO Yirong;XIAO Zhiyi;WU Ruiyuan(Guangzhou University of Chinese Medicine,Gnangzhou 510016,China)
出处
《医学信息学杂志》
CAS
2018年第11期59-62,共4页
Journal of Medical Informatics
基金
2017国家重点研发计划"云计算和大数据"重点专项(项目编号:2017YFB1002300)
2016广东省高水平大学建设青年创新人才项目(项目编号:2016KQNCX024)
