Agile decision support system for the management of tensions in emergency services using AIS techniques

Berquedich, Mouna; Kamach, Oulaïd; Masmoudi, Mohamed; Deshayes, Laurent

doi:10.1109/logistiqua.2017.7962884

Cited by 5 publications

(2 citation statements)

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“…By comparing the results of the two proposed algorithms, we concluded that the hybrid HA not only had an effectiveness performance fitness, but also illustrated the idea that the number of resources should more or equal than feedback of experiences. The result of the HA is more feasible than the results found by [6,14] considering the available resources in the Hospital Center.…”

Section: Analysis and Discussion Of A Resultsmentioning

confidence: 84%

“…Also, most of them interested in two material resources: (operating rooms and beds). One exception is the study of Berquedich et al [14] which used the artificial immune system as a decision support tool to manage the allocation of necessary resources during a tension situation. This method is based on the affinity of each case with respect to the available solutions to assign the most suitable one.…”

Section: Introductionmentioning

confidence: 99%

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A hybrid algorithm to size the hospital resources in the case of a massive influx of victims

Kacem¹,

Kamach²,

Samir³

et al. 2020

IJECE

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Disaster situations either natural or made-man caused a large number of deaths and injured people. Morocco has experienced several disasters recently, the last one was the railway accident on 16 October 2018, which caused 127 serious injuries and 7 deaths. This large number was a big problem for the hospital to manage the received victims in right direction, which caused lives lost and disability. In this article, in collaboration with Mohammed (V) hospital in Casablanca city in Morocco, we suggested a solution that saves lives and eliminates number of disability by using a hybrid algorithm to size the hospital resources in the case of a massive influx of victims. We also suggested a support decision tool that is called Emergency Support Decision Tool. This helpful tool gives an idea about the needed resources that support these emergencies according to the victim's number. The proposed solution consisted in making a hybrid algorithm that mixed the theoretical simulation process and the experience feedback by developing hybrid genetic and hybrid heuristic algorithms. These algorithms using as an input the matrix solutions that generated under ARENA software and the solution generated by neural networks that based on experiences feedback. The objective was to provide a solution based on available resources. In fact, the results showed that the hybrid heuristic algorithm is more performant than the hybrid genetic algorithm. . He holds a doctorate in medicine from the Faculty of Medicine and Pharmacy of Rabat in 1993 and a certificate in emergency medicine from the Faculty of Medicine and Pharmacy of Casablanca in 2005, he held several positions such as Acting Director of the AL HASSANNI prefectoral hospital centre and Chief Medical Officer of the Medical Affairs Department of the Mohammed V

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Section: Analysis and Discussion Of A Resultsmentioning

confidence: 84%

Section: Introductionmentioning

confidence: 99%