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GIS-Based Multi-Criteria Decision-Support System and Machine Learning for Hospital Site Selection: Case Study Oran, Algeria

GIS-Based Multi-Criteria Decision-Support System and Machine Learning for Hospital Site Selection: Case Study Oran, Algeria

Khadidja Benmoussa, Djamila Hamdadou, Zine El Abidine Roukh
Copyright: © 2022 |Volume: 14 |Issue: 1 |Pages: 19
ISSN: 1942-9045|EISSN: 1942-9037|EISBN13: 9781683181019|DOI: 10.4018/IJSSCI.285592
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MLA

Benmoussa, Khadidja, et al. "GIS-Based Multi-Criteria Decision-Support System and Machine Learning for Hospital Site Selection: Case Study Oran, Algeria." IJSSCI vol.14, no.1 2022: pp.1-19. http://doi.org/10.4018/IJSSCI.285592

APA

Benmoussa, K., Hamdadou, D., & Roukh, Z. E. (2022). GIS-Based Multi-Criteria Decision-Support System and Machine Learning for Hospital Site Selection: Case Study Oran, Algeria. International Journal of Software Science and Computational Intelligence (IJSSCI), 14(1), 1-19. http://doi.org/10.4018/IJSSCI.285592

Chicago

Benmoussa, Khadidja, Djamila Hamdadou, and Zine El Abidine Roukh. "GIS-Based Multi-Criteria Decision-Support System and Machine Learning for Hospital Site Selection: Case Study Oran, Algeria," International Journal of Software Science and Computational Intelligence (IJSSCI) 14, no.1: 1-19. http://doi.org/10.4018/IJSSCI.285592

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Abstract

The selection of hospital sites is one of the most important choice a decision maker has to take so as to resist the pandemic. The decision may considerably affect the outbreak transmission in terms of efficiency , budget, etc. The main targeted objective of this study is to find the ideal location where to set up a hospital in the willaya of Oran Alg. For this reason, we have used a geographic information system coupled to the multi-criteria analysis method AHP in order to evaluate diverse criteria of physiological positioning , environmental and economical. Another objective of this study is to evaluate the advanced techniques of the automatic learning . the method of the random forest (RF) for the patterning of the hospital site selection in the willaya of Oran. The result of our study may be useful to decision makers to know the suitability of the sites as it provides a high level of confidence and consequently accelerate the power to control the COVID19 pandemic.

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