IIUM Repository (IREP)

Neuro-fuzzy icu ventilator patients modeling

Abdul Rahman, Abdul Wahab and Quek, Chai and A. H., Luah (2009) Neuro-fuzzy icu ventilator patients modeling. Journal of Computational Methods in Sciences and Engineering , 9 (2). S159-S167.

[img] PDF
Restricted to Repository staff only

Download (927kB) | Request a copy

Abstract

Artificial ventilation is an important treatment for the patients in the intensive care unit (ICU). An important step in building an efficient decision support system for intelligent ventilation is to develop a patient model. The patient model gives an idea of how the patient will behave under different ventilator settings. The feasibility of using neuro-fuzzy systems to model the physiology of the ventilated patient was assessed. Feature selection was also performed to explore other important input variables that could model the physiological state of the patients more accurately. Even though the overall patient model do not provide a good matched prediction of the patient's arterial oxygen tension, but it is still able to provide satisfactory arterial carbon dioxide tension predictions. This thus opens up new opportunity to model the ventilated patient.

Item Type: Article (Journal)
Additional Information: 6145/9572
Subjects: T Technology > T Technology (General)
T Technology > T Technology (General) > T55.4 Industrial engineering.Management engineering. > T58.5 Information technology
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology
Depositing User: Sis Zaleha Ibat
Date Deposited: 27 Apr 2012 10:01
Last Modified: 27 Apr 2012 10:01
URI: http://irep.iium.edu.my/id/eprint/9572

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year