Takahiro Suzuki, Shunsuke Doi, Shinsuke Fujita, Yutaka Hatakeyama, Masayuki Honda, Yasushi Matsumura, Gen Shimada, Mitsuhiro Takasaki, Shusaku Tsumoto, Hideto Yokoi, Katsuhiko Takabayashi
Department of Medical Informatics and Management, Chiba University Hospital.
Stud Health Technol Inform. 2013;192:1064.
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.
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。