DocumentCode :
256257
Title :
Automatic detection of difficult tracheal intubation
Author :
El Amine Lazouni, Mohammed ; Settouti, Nesma ; El Habib Daho, Mostafa ; Mahmoudi, Shadi ; Chikh, Azeddine
Author_Institution :
Biomed. Eng. Lab., Tlemcen Univ., Tlemcen, Algeria
fYear :
2014
fDate :
14-16 April 2014
Firstpage :
453
Lastpage :
458
Abstract :
Before the routine anesthesia, an airway examination must be performed during the pre-anesthetic examination for all patients who need a surgical operation in order to decide whether the tracheal intubation is easy or hard. In the field of anesthesia and intensive care, many works have been performed in order to reduce as much as possible the anesthetic risks and the mortality rate as well as to provide assistance to the Doctors Specialized in Anesthesia (DSA´s).
Keywords :
medical computing; patient diagnosis; risk analysis; surgery; DSA; Doctors Specialized in Anesthesia; airway examination; anesthetic risks; automatic detection; pre-anesthetic examination; routine anesthesia; surgical operation; tracheal intubation; Accuracy; Anesthesia; Biological neural networks; Databases; Decision trees; Neurons; Support vector machines; Anesthesia; C4.5 Decision Tree; K-Nearest Neighbors; Multi Layer Perceptron; Tracheal Intubation Support Vectors Machine; Tracheal intubation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Computing and Systems (ICMCS), 2014 International Conference on
Conference_Location :
Marrakech
Print_ISBN :
978-1-4799-3823-0
Type :
conf
DOI :
10.1109/ICMCS.2014.6911235
Filename :
6911235
Link To Document :
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