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Unsupervised and Supervised Activity Analysis of Drone Sensor Data Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Fuzzy Logic Systems for Assistance in the Anesthesiology Processes

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

Published in: Applied Computer Sciences in Engineering

Publisher: Springer International Publishing

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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.

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previous chapter Fuzzy Uncertainty in Random Variable Generation: A Cumulative Membership Function Approach
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Metadata
Title
Fuzzy Logic Systems for Assistance in the Anesthesiology Processes
Authors
Maria Leandra Guateque
Alvaro David Orjuela-Cañón
Wilber Acuña-Bravo
Juan Jose Jaramillo
Copyright Year
2017
Book
Applied Computer Sciences in Engineering

Print ISBN: 978-3-319-66962-5

Electronic ISBN: 978-3-319-66963-2

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-66963-2_37

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