Study on the Development of Critical Pathway for the Cesarean Section using Data Mining Technique.
- Author:
Seung Hee HO
1
;
Young Moon CHAE
;
Myung Yae CHOI
;
Mi Ra SONG
Author Information
1. Graduate School of Management, Korea Advanced Institute of Science and Technology, Korea. hsh@kgsm.kaist.ac.kr
- Publication Type:Original Article
- Keywords:
Cesarean Section;
Critical Pathway;
Lengths of Stay;
Data Mining
- MeSH:
Cesarean Section*;
Critical Pathways*;
Data Mining*;
Female;
Humans;
Pregnancy
- From:Journal of Korean Society of Medical Informatics
2002;8(2):41-50
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
The objectives of this study was to discover knowledge in predicting lengths of stay of Cesarean Section by patients characteristics and treatment method using data mining technique and to suggest the approach to the development of critical pathway. The findings suggest that data mining technique from the large pool of accumulated patients data can be utilized to systematize newly observed correlations, patterns and trends and to develop critical pathway for the treatment and management. The results of the study can be contributed to aid developing the clinical pathway for cesarean section suitable to Korean patients. And the application of the developed critical pathway in clinical practice will produce the actual effect and value.
