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SALEH, Mohammed, SAATCHI, Reza and BURKE, Derek (2017). Analysis of the influence of trauma injury factors on the probability of survival. International journal of biology and biomedical engineering, 11, 88-96.
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Analysis of the influence of trauma injury 24 11 2017.pdf - Published Version All rights reserved. Download (936kB) | Preview |
Abstract
The probability or likelihood of survival in trauma injuries is a clinically important parameter for triage, setting treatment priorities and research and management audit. The existing methods for determining it have short comings that necessitate further development. In this study, an artificial intelligence method called fuzzy inference system (FIS) for determining the likelihood of survival in trauma injuries is being developed and evaluated. The accuracy of the FIS primarily depends on the design of its knowledge base. The required knowledge base is being designed by carrying out a detailed statistical analysis of the trauma injury profiles contained in a large data base of injury cases. As part of this analysis, the relationships between the body regions affected by trauma injuries, physiological measures (such as blood pressure, respiration rate and heart rate), age, gender , the neurological factors assessed by the Glasgow Comma Score and pre-exiting medical conditions on the probability of survival were analysed and a FIS system to indicate the likelihoods survival was proposed. The preliminary results obtained are presented.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Computational analysis of injuries, probability of survival, Fuzzy logic. |
| Research Institute, Centre or Group - Does NOT include content added after October 2018: | Materials and Engineering Research Institute > Modelling Research Centre > Microsystems and Machine Vision Laboratory |
| Departments - Does NOT include content added after October 2018: | Faculty of Science, Technology and Arts > Department of Engineering and Mathematics |
| Page Range: | 88-96 |
| Depositing User: | Reza Saatchi |
| Date Deposited: | 24 Nov 2017 16:10 |
| Last Modified: | 18 Mar 2021 15:45 |
| URI: | https://shura.shu.ac.uk/id/eprint/17424 |
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