Nursing-care freestyle text classification using support vector machines

被引：10

作者：

Nii, Manabu ^{[1
]}

Ando, Shigeru ^{[1
]}

Takahashi, Yutaka ^{[1
]}

Uchinuno, Atsuko ^{[2
]}

Sakashita, Reiko ^{[2
]}

机构：

[1] Univ Hyogo, Grad Sch Engn, Shosha 2167, Himeji, Hyogo, Japan

[2] Univ Hyogo, Coll Nursing Art & Sci, Akashi, Hyogo, Japan

来源：

GRC: 2007 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, PROCEEDINGS | 2007年

关键词：

D O I：

10.1109/GrC.2007.131

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The nursing care quality improvement is very important in. the medical field. Currently, nursing-care freestyle texts (nursing-care data) are collected from many hospitals in Japan by using Web applications. Some nursing-care experts evaluate the collected data to improve nursing care quality. For evaluating the nursing-care data, experts need to read all freestyle texts carefully. However, it is a hard task for an expert to evaluate the data because of huge number of nursing-care data in the database. In. order to reduce workloads evaluating nursing-care data, we propose a support vector machine(SVM) based classification system.

引用

页码：665 / +

页数：2

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