Nursing-care Data Classification using Fuzzy Systems

Tomoya Sakaguchi; Manabu Nii; Yutaka Takahashi; Atsuko Uchinuno; Reiko Sakashita

doi:10.14864/softscis.2006.0.2017.0

SCIS & ISIS 2006

Session ID : SA-D4-5

DOI https://doi.org/10.14864/softscis.2006.0.2017.0

Conference information

Host: Japan SOciety for Fuzzy Theory and intelligent informatics

Co-host: The Korea Fuzzy Logic and Intelligent Systems Society, IEEE Computational Intelligence Society, The International Fuzzy Systems Association, 21th Century COE Program "Creation of Agent-Based Social Systems Sciences"

SA-D4 Medical Systems (2)

Nursing-care Data Classification using Fuzzy Systems

*Tomoya Sakaguchi, Manabu Nii, Yutaka Takahashi, Atsuko Uchinuno, Reiko Sakashita

Author information

Keywords: nursing-care, fuzzy classifier system, data mining

CONFERENCE PROCEEDINGS FREE ACCESS

Details

Abstract

A lot of nursing-care texts is collected from several hospitals with a Web application. Experts manually have to evaluate and classify these texts. In this paper, we try to develop fuzzy systems to beforehand and possibly classify them. These systems use structural features and technical terms of these texts to classify them. We perform computional experiments using actual nursing-care data and think about efficient characteristics of them.

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