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