A Cloud Based Decision Support System Aimed to Contribute in Policy Making for Natural Disaster Related Incidents

Marilena Tarousi, Michail Sarafidis, Panagiotis Katrakazas, Ioannis Kouris, Stavros Pitoglou, Ourania Petropoulou, Athanasios Anastasiou and Dimitrios Koutsouris
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Marilena Tarousi: National Technical University of Athens, Athens, Greece
Michail Sarafidis: National Technical University of Athens, Athens, Greece
Panagiotis Katrakazas: National Technical University of Athens, Athens, Greece
Ioannis Kouris: National Technical University of Athens, Athens, Greece
Stavros Pitoglou: National Technical University of Athens, Athens, Greece
Ourania Petropoulou: National Technical University of Athens, Athens, Greece
Athanasios Anastasiou: Biomedical Engineering Laboratory, School of Electrical and Computer Engineering, Division of Information Transmission Systems and Material Technology, National Technical University of Athens, Athens, Greece
Dimitrios Koutsouris: Biomedical Engineering Lab, National Technical University of Athens, Athens, Greece

International Journal of Reliable and Quality E-Healthcare (IJRQEH), 2019, vol. 8, issue 3, 36-46

Abstract: The main objective of the article is to employ cloud computing technology in order to develop the decision support system of an integrated platform aimed to aid decision makers in natural disaster incidents. This specific platform refers to the most commonly occurred natural disasters in Europe. The decision support system included in the cloud-based platform, is an advanced collection of data processing tools that provides the possibility to export useful conclusions for decision making about the urgent needs of families and children.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jrqeh0:v:8:y:2019:i:3:p:36-46

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