Manchester triage fuzzy expert system / Azril Asraf Azlan

Deaths in hospital often occur within 24 hours of admission. Many of these deaths could be prevented if very sick patients are identified soon after their arrival and treatment is started immediately. This will lead the workload varies from day to day hour to hour which depends on the numbers of att...

Full description

Saved in:
Bibliographic Details
Main Author: Azlan, Azril Asraf
Format: Thesis
Language:English
Published: 2007
Online Access:http://ir.uitm.edu.my/id/eprint/9293/1/TD_AZRIL%20ASRAF%20%20AZLAN%20CS%2007_5.pdf
http://ir.uitm.edu.my/id/eprint/9293/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.9293
record_format eprints
spelling my.uitm.ir.92932017-09-12T01:33:12Z http://ir.uitm.edu.my/id/eprint/9293/ Manchester triage fuzzy expert system / Azril Asraf Azlan Azlan, Azril Asraf Deaths in hospital often occur within 24 hours of admission. Many of these deaths could be prevented if very sick patients are identified soon after their arrival and treatment is started immediately. This will lead the workload varies from day to day hour to hour which depends on the numbers of attending and its complaint. In addition it also raises the pressure to the medical staffs to make the decision. It is absolutely crucial that there is a system in place to ensure these patients are seen in order of clinical need rather than in order of attendance. Thus to develop system which using Manchester Triage Scale (MTS) technique and fuzzy approach in evaluate the patients is the solutions to this problem. In order to deal with uncertainties that exist in evaluating the patients, the concept of fuzzy is also presented. Additionally a rule-based technique is chosen because the knowledge in this problem domain can be simply transform into rules. In consequence the system initially will help the triage nurses or the practitioners in making decision in evaluating the patients by determine which patients needed the most treatments at that time. 2007 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/9293/1/TD_AZRIL%20ASRAF%20%20AZLAN%20CS%2007_5.pdf Azlan, Azril Asraf (2007) Manchester triage fuzzy expert system / Azril Asraf Azlan. Degree thesis, Universiti Teknologi MARA.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description Deaths in hospital often occur within 24 hours of admission. Many of these deaths could be prevented if very sick patients are identified soon after their arrival and treatment is started immediately. This will lead the workload varies from day to day hour to hour which depends on the numbers of attending and its complaint. In addition it also raises the pressure to the medical staffs to make the decision. It is absolutely crucial that there is a system in place to ensure these patients are seen in order of clinical need rather than in order of attendance. Thus to develop system which using Manchester Triage Scale (MTS) technique and fuzzy approach in evaluate the patients is the solutions to this problem. In order to deal with uncertainties that exist in evaluating the patients, the concept of fuzzy is also presented. Additionally a rule-based technique is chosen because the knowledge in this problem domain can be simply transform into rules. In consequence the system initially will help the triage nurses or the practitioners in making decision in evaluating the patients by determine which patients needed the most treatments at that time.
format Thesis
author Azlan, Azril Asraf
spellingShingle Azlan, Azril Asraf
Manchester triage fuzzy expert system / Azril Asraf Azlan
author_facet Azlan, Azril Asraf
author_sort Azlan, Azril Asraf
title Manchester triage fuzzy expert system / Azril Asraf Azlan
title_short Manchester triage fuzzy expert system / Azril Asraf Azlan
title_full Manchester triage fuzzy expert system / Azril Asraf Azlan
title_fullStr Manchester triage fuzzy expert system / Azril Asraf Azlan
title_full_unstemmed Manchester triage fuzzy expert system / Azril Asraf Azlan
title_sort manchester triage fuzzy expert system / azril asraf azlan
publishDate 2007
url http://ir.uitm.edu.my/id/eprint/9293/1/TD_AZRIL%20ASRAF%20%20AZLAN%20CS%2007_5.pdf
http://ir.uitm.edu.my/id/eprint/9293/
_version_ 1685648259780968448
score 13.18916