Neuro-fuzzy icu ventilator patients modeling

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 diffe...

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Main Authors: Abdul Rahman, Abdul Wahab, Quek, Chai, A. H., Luah
Format: Article
Language:English
Published: 2009
Subjects:
Online Access:http://irep.iium.edu.my/9572/1/Neuro-fuzzy_Icu_Ventilator.pdf
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author Abdul Rahman, Abdul Wahab
Quek, Chai
A. H., Luah
author_facet Abdul Rahman, Abdul Wahab
Quek, Chai
A. H., Luah
author_sort Abdul Rahman, Abdul Wahab
collection IIUM
description 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.
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spelling oai:generic.eprints.org:95722012-04-27T02:01:08Z http://irep.iium.edu.my/9572/ Neuro-fuzzy icu ventilator patients modeling Abdul Rahman, Abdul Wahab Quek, Chai A. H., Luah T Technology (General) T58.5 Information technology 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. 2009 Article PeerReviewed application/pdf en http://irep.iium.edu.my/9572/1/Neuro-fuzzy_Icu_Ventilator.pdf 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.
spellingShingle T Technology (General)
T58.5 Information technology
Abdul Rahman, Abdul Wahab
Quek, Chai
A. H., Luah
Neuro-fuzzy icu ventilator patients modeling
title Neuro-fuzzy icu ventilator patients modeling
title_full Neuro-fuzzy icu ventilator patients modeling
title_fullStr Neuro-fuzzy icu ventilator patients modeling
title_full_unstemmed Neuro-fuzzy icu ventilator patients modeling
title_short Neuro-fuzzy icu ventilator patients modeling
title_sort neuro fuzzy icu ventilator patients modeling
topic T Technology (General)
T58.5 Information technology
url http://irep.iium.edu.my/9572/1/Neuro-fuzzy_Icu_Ventilator.pdf
work_keys_str_mv AT abdulrahmanabdulwahab neurofuzzyicuventilatorpatientsmodeling
AT quekchai neurofuzzyicuventilatorpatientsmodeling
AT ahluah neurofuzzyicuventilatorpatientsmodeling