Fuzzy logic to determine the likelihood of survival for trauma injury patients

SALEH, Mohammad, SAATCHI, Reza, LECKY, Fiona and BURKE, Derek (2017). Fuzzy logic to determine the likelihood of survival for trauma injury patients. In: Harnessing the power of technology to improve lives. Studies in Health Technology and Informatics (242). IOS Press, 385-388.

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Official URL: http://ebooks.iospress.nl/volumearticle/47300
Link to published version:: https://doi.org/10.3233/978-1-61499-798-6-385
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Abstract

Abstract. A system to determine the likelihood of survival for trauma injury patients is being developed. It uses a fuzzy logic approach that can model complex processes without reliance on sophisticated mathematical formulations and may have the potential to be more accurate than the existing approaches. The outline operation of the system that is currently in a prototype stage is described.

Item Type: Book Section
Additional Information: Paper presented at the AAATE2017 conference http://aaate.net/aaate-conference-2017/ Series ISSN : 0926-9630 PMID: 28873828
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
Identification Number: https://doi.org/10.3233/978-1-61499-798-6-385
Page Range: 385-388
Depositing User: Reza Saatchi
Date Deposited: 19 Sep 2017 13:59
Last Modified: 18 Mar 2021 06:04
URI: https://shura.shu.ac.uk/id/eprint/16790

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