Application of Classification Methods to Elective Surgical Cases Cancellation Detection
- https://doi.org/10.2991/emeeit-15.2015.60How to use a DOI?
- Surgery Cancellation, Operating Room Management, Decision Tree, Bayes Network, Classification Techniques
The case cancellation in the operating room can cause multi-faceted troubles, so it is difficult for the operating room manager to detect potential cancelled cases. The objective of this study is to build classification models like Decision Tree and Bayes Network to assist the operating room manager to detect the potential cancelled cases. After data acquisition and data preprocessing, classification models are trained. As a result, Decision Tree and Bayes Network outperform SVM and Neural Networks in terms of classification accuracy.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Li Feng AU - Li Luo AU - Renrong Gong PY - 2015/11 DA - 2015/11 TI - Application of Classification Methods to Elective Surgical Cases Cancellation Detection BT - Proceedings of the 2015 International conference on Engineering Management, Engineering Education and Information Technology PB - Atlantis Press SP - 298 EP - 302 SN - 2352-538X UR - https://doi.org/10.2991/emeeit-15.2015.60 DO - https://doi.org/10.2991/emeeit-15.2015.60 ID - Feng2015/11 ER -