Nursing-Care Freestyle Text Classification Using Support Vector Machines

Manabu Nii, Shigeru Ando, Yutaka Takahashi, Atsuko Uchinuno, Reiko Sakashita

2007 IEEE International Conference on Granular Computing (GRC 2007) · 2007 · 24 citations · 4 references

Concepts

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 experts 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 workloads evaluating nursing-care data, we propose a support vector machine(SVM) based classification system.

References

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