Fuzzy Logic Systems for Assistance in the Anesthesiology Processes

Maria Leandra Guateque; Alvaro David Orjuela-Cañón; Wilber Acuña-Bravo; Juan Jose Jaramillo

doi:10.1007/978-3-319-66963-2_37

Fuzzy Logic Systems for Assistance in the Anesthesiology Processes

Maria Leandra Guateque, Alvaro David Orjuela-Cañón, Wilber Acuña-Bravo, Juan Jose Jaramillo

Research output: Work of Creation › Other contribution

Abstract

In the anesthesiology area, supporting for surgical interventions are relevant to make these procedures pain-free and comfortable for the patients. Nowadays, complexity in those methods can be simple, where medical doctors perform entire work, or assistance systems for making decisions in this task. The purpose of this paper is to present the comparison between the decision making in anesthesiology process given by medical personnel and a fuzzy logic system output based on the same information. Results based on Kappa index show that fuzzy system can provide information with almost perfect agreement about quantities of gas that have to be supplied to patients in anesthesiology action.

Original language	Undefined/Unknown
Publisher	Springer, Cham
Number of pages	9
Volume	742
ISBN (Print)	9783319669625
ISBN (Electronic)	9783319669632
DOIs	https://doi.org/10.1007/978-3-319-66963-2_37
State	Published - Aug 2017
Externally published	Yes

Access to Document

10.1007/978-3-319-66963-2_37

Cite this

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title = "Fuzzy Logic Systems for Assistance in the Anesthesiology Processes",

abstract = "In the anesthesiology area, supporting for surgical interventions are relevant to make these procedures pain-free and comfortable for the patients. Nowadays, complexity in those methods can be simple, where medical doctors perform entire work, or assistance systems for making decisions in this task. The purpose of this paper is to present the comparison between the decision making in anesthesiology process given by medical personnel and a fuzzy logic system output based on the same information. Results based on Kappa index show that fuzzy system can provide information with almost perfect agreement about quantities of gas that have to be supplied to patients in anesthesiology action.",

author = "Guateque, {Maria Leandra} and Orjuela-Ca{\~n}{\'o}n, {Alvaro David} and Wilber Acu{\~n}a-Bravo and Jaramillo, {Juan Jose}",

year = "2017",

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AU - Guateque, Maria Leandra

AU - Orjuela-Cañón, Alvaro David

AU - Acuña-Bravo, Wilber

AU - Jaramillo, Juan Jose

PY - 2017/8

Y1 - 2017/8

N2 - In the anesthesiology area, supporting for surgical interventions are relevant to make these procedures pain-free and comfortable for the patients. Nowadays, complexity in those methods can be simple, where medical doctors perform entire work, or assistance systems for making decisions in this task. The purpose of this paper is to present the comparison between the decision making in anesthesiology process given by medical personnel and a fuzzy logic system output based on the same information. Results based on Kappa index show that fuzzy system can provide information with almost perfect agreement about quantities of gas that have to be supplied to patients in anesthesiology action.

AB - In the anesthesiology area, supporting for surgical interventions are relevant to make these procedures pain-free and comfortable for the patients. Nowadays, complexity in those methods can be simple, where medical doctors perform entire work, or assistance systems for making decisions in this task. The purpose of this paper is to present the comparison between the decision making in anesthesiology process given by medical personnel and a fuzzy logic system output based on the same information. Results based on Kappa index show that fuzzy system can provide information with almost perfect agreement about quantities of gas that have to be supplied to patients in anesthesiology action.

U2 - 10.1007/978-3-319-66963-2_37

DO - 10.1007/978-3-319-66963-2_37

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