New Feature Definition for Improvement of Nursing-care Text Classification

Recently, "Web based Nursing-care Quality Improvement System" have been proposed and operating continuously for improving the nursing-care quality in Japan. For evaluating actual nursing-care process, freestyle Japanese texts which are called "nursing-care texts" are collected through the Internet. The nursing-care experts read the collected nursing-care texts carefully to evaluate actual nursing-care process. Then they make a recommendation which includes some improvements, and send it to each nurse. The number of nursing-care experts who can evaluate the nursing-care texts is a few. Hence, it is hard to perform the above mentioned evaluation process because of a large number of nurses. In order to assist nursing-care experts in evaluating the nursing-care texts, we have been developing a computer aided nursing-care text classification system. In this paper, first, we introduce our computer aided nursing-care text classification system. Then we propose a method to improve the classification performance of the nursing-care text classification system. In our proposed method, dependency relation between terms is extracted from the nursing-care text. The extracted dependency is used as a feature value which represents characteristics of each nursing-care text. From some experimental results for the actual nursing-care text sets, we show that our proposed feature definition is effective for improving the classification performance.