Difficult intubation assessment using statistical factor analysis decision tree

Hsien Chang Wang, Wei Hao Chen, Chia Chi Tseng, Yu Hsien Chiu

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)

摘要

Correct and rapid tracheal intubation is an essential anesthesia task for surgical operations. Intubation highly depends on the subjective judgment and experience of the anesthetist. This paper proposes a statistical factor analysis approach to model the preferences of expert anesthetists to enable more accurate pre-operation judgments in cases of difficult intubation. Factor analysis combined with the mutual information between factors is used to generate a robust decision tree (DT) using Bartletts node splitting criterion for better decision-making. A tablet computer application is also developed to assist judgment. Several experiments were performed to investigate judgment accuracy and learning effects. Our proposed approach outperformed both a well-known C5.0 DT and an expert opinion derived DT. Encouraging results concerning robustness and efficiency were observed for our approach.

原文English
頁(從 - 到)710-721
頁數12
期刊Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A
37
發行號6
DOIs
出版狀態Published - 2014 8月 18

All Science Journal Classification (ASJC) codes

  • 一般工程

指紋

深入研究「Difficult intubation assessment using statistical factor analysis decision tree」主題。共同形成了獨特的指紋。

引用此