Suppr超能文献

综合多中心出院小结数据库的构建。

Construction of the integrated multicentre discharge summary database.

作者信息

Takahiro Suzuki, Shunsuke Doi, Shinsuke Fujita, Yutaka Hatakeyama, Masayuki Honda, Yasushi Matsumura, Gen Shimada, Mitsuhiro Takasaki, Shusaku Tsumoto, Hideto Yokoi, Katsuhiko Takabayashi

机构信息

Department of Medical Informatics and Management, Chiba University Hospital.

出版信息

Stud Health Technol Inform. 2013;192:1064.

Abstract

We started a multi-year project to collect discharge summaries from multiple hospitals and create a big text database to build a common document vector space, and develop various applications such as the autoselection of the disease. As the first step, we extracted discharge summary from two hospitals. Using a text mining method, we carried out a DPC selection. There was a difference in term structure and number of terms between the discharge summaries from both hospitals. Nevertheless, the selection rate of the disease is resembled closely.

摘要

我们启动了一个为期多年的项目,从多家医院收集出院小结,创建一个大型文本数据库以构建通用文档向量空间,并开发各种应用程序,如疾病自动选择。作为第一步,我们从两家医院提取了出院小结。使用文本挖掘方法,我们进行了诊断相关分组(DPC)选择。两家医院出院小结的术语结构和术语数量存在差异。然而,疾病的选择率却非常相似。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验