A directed graph based feature definition for classifying nursing-care texts
A directed graph based feature definition for classifying nursing-care texts
复制标题
基于有向图的护理文本分类特征定义
DOI：
10.1109/smc.2014.6974504
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
R. Sakashita
中科院分区：
文献类型：
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作者：
M. Nii;Kazunobu Takahama;A. Uchinuno;R. Sakashita
在日本这样的老龄化社会，我们感到提高护理质量以保持生活质量的重要性。发展一套电脑辅助评估系统，以提升护理服务品质，是我们的最终目标。为了评估日本广泛地区的实际护理质量，我们收集了护士使用我们基于Web的系统撰写的文本。一个基于SVM的分类系统已被开发来分类这样的护理文本，并在我们以前的研究中也提出了一个依赖关系的特征向量定义。当我们训练基于SVM的分类系统时，由几个护理专家预先分类的护理文本被用作训练数据集。训练数据中的一些文本是相似的，但被分为不同的类。为了对护理文本进行高准确率的分类，需要提取能够表达原始文本特征的数字特征。在本文中，我们解释了一些特征向量的定义，并提出了一种基于有向图的特征向量定义。
In the aging society such as Japan, we feel large importance for improving the quality of nursing-care to keep our quality of life. Development of a computer aided evaluation system for improving the quality of nursing-care is our final goal. In order to evaluate the quality of actual nursing in wide areas in Japan, we have been collecting texts that are written by nurses using our Web based system. A SVM based classification system has been developed to classify such nursing-care texts, and a dependency relation based feature vector definition has also been proposed in our previous researches. When we train the SVM based classification system, pre-classified nursing-care texts by a few nursing-care experts are used as a training data set. Some texts in the training data are similar but classified into different classes. To classify the nursing-care texts with high accuracy, we need to extract numerical features that can express characteristics of the original text. In this paper, we explain some feature vector definitions and propose a directed graph based feature vector definition.