Title :
Nursing-Care Freestyle Text Classification Using Support Vector Machines
Author :
Nii, Manabu ; Ando, Shigeru ; Takahashi, Yutaka ; Uchinuno, Atsuko ; Sakashita, Reiko
Author_Institution :
Univ. of Hyogo, Himeji
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.
Keywords :
support vector machines; text analysis; freestyle text classification; nursing-care; support vector machines; Art; Biomedical engineering; Databases; Educational institutions; Hospitals; Medical services; Natural language processing; Support vector machine classification; Support vector machines; Text categorization;
Conference_Titel :
Granular Computing, 2007. GRC 2007. IEEE International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3032-1
DOI :
10.1109/GrC.2007.131
