Nursing-Care Freestyle Text Classification Using Support Vector Machines

  • Authors:
  • Manabu Nii;Shigeru Ando;Yutaka Takahashi;Atsuko Uchinuno;Reiko Sakashita

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • GRC '07 Proceedings of the 2007 IEEE International Conference on Granular Computing
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

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 ex- perts 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 work- loads evaluating nursing-care data, we propose a support vector machine(SVM) based classification system.