2012Unpublished venueRequires access

Feature Definition Using Dependency Relations between Terms for Improving Nursing-care Text Classification

Manabu Nii, Yoshinori Hirohata, Atsuko Uchinuno, Reiko Sakashita

Open publisher page 10 citations

Abstract

In order to improve the nursing-care quality, a"Web based Nursing-care Quality Improvement System" have been proposed and operating continuously. In the proposed system, for evaluating actual nursing-care process, freestyle Japanese texts which are called "nursing-care texts" are collected through the Internet in Japan. The nursing-care experts can evaluate actual nursing-care process and recommend some improvements to nurses by reading the collected nursing-care texts carefully. Since the number of nursing-care experts who can evaluate the nursing-care texts is a few, it is hard to do the above mentioned evaluation process for a large number of nurses. To assist nursing-care experts in evaluating the nursing-care texts, a computer aided nursing-care text classification system has been developed. In this paper, we propose a method to improve the classification performance of the computer aided nursing-care text classification system. Dependency relation between terms is extracted from the nursing-care text and used the dependency as a feature value which represents characteristics of the nursing-care text.

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What this paper is about

In order to improve the nursing-care quality, a"Web based Nursing-care Quality Improvement System" have been proposed and operating continuously. In the proposed system, for evaluating actual nursing-care process, freestyle Japanese texts which are called "nursing-care texts" are collected through the Internet in Japan. The nursing-care experts can evaluate actual nursing-care process and recommend some improvements to nurses by reading the collected nursing-care texts carefully. Since the number of nursing-care experts who can evaluate the nursing-care texts is a few, it is hard to do the above mentioned evaluation process for a large number of nurses. To assist nursing-care experts in evaluating the nursing-care texts, a computer aided nursing-care text classification system has been developed. In this paper, we propose a method to improve the classification performance of the computer aided nursing-care text classification system. Dependency relation between terms is extracted from the nursing-care text and used the dependency as a feature value which represents characteristics of the nursing-care text.

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Available abstract

In order to improve the nursing-care quality, a"Web based Nursing-care Quality Improvement System" have been proposed and operating continuously. In the proposed system, for evaluating actual nursing-care process, freestyle Japanese texts which are called "nursing-care texts" are collected through the Internet in Japan. The nursing-care experts can evaluate actual nursing-care process and recommend some improvements to nurses by reading the collected nursing-care texts carefully. Since the number of nursing-care experts who can evaluate the nursing-care texts is a few, it is hard to do the above mentioned evaluation process for a large number of nurses. To assist nursing-care experts in evaluating the nursing-care texts, a computer aided nursing-care text classification system has been developed. In this paper, we propose a method to improve the classification performance of the computer aided nursing-care text classification system. Dependency relation between terms is extracted from the nursing-care text and used the dependency as a feature value which represents characteristics of the nursing-care text.

Key concepts: Nursing, Nursing Outcomes Classification, Nursing care, Nursing Minimum Data Set, Dependency (UML), Primary nursing, Nursing process, Team nursing

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