Remote triage support algorithm based on fuzzy logic

Ackoski, Jugoslav and Koceski, Saso and Bogatinov, Dimitar and Temelkovski, Boban and Stevanoski, Goce and Kocev, Ivica (2016) Remote triage support algorithm based on fuzzy logic. Journal of the Royal Army Medical Corps. ISSN 2052-0468

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Objectives This paper presents a remote triage support algorithm as a part of a complex military telemedicine system which provides continuous monitoring of soldiers’ vital sign data gathered on-site using unobtrusive set of sensors.

Methods The proposed fuzzy logic-based algorithm takes physiological data and classifies the casualties according to their health risk level, calculated following the Modified Early Warning Score (MEWS) methodology.

Results To verify the algorithm, eight different evaluation scenarios using random vital sign data have been created. In each scenario, the hypothetical condition of the victims was assessed in parallel both by the system as well as by 50 doctors with significant experience in the field. The results showed that there is high (0.928) average correlation of the classification results.

Discussion This suggests that the proposed algorithm can be used for automated remote triage in real life-saving situations even before the medical team arrives at the spot, and shorten the response times. Moreover, an additional study has been conducted in order to increase the computational efficiency of the algorithm, without compromising the quality of the classification results.

Item Type: Article
Subjects: Natural sciences > Computer and information sciences
Engineering and Technology > Electrical engineering, electronic engineering, information engineering
Divisions: Faculty of Computer Science
Depositing User: Saso Koceski
Date Deposited: 08 Feb 2017 15:11
Last Modified: 08 Feb 2017 15:11

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