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On the use of logistics data to anticipate drugs shortages through data mining

Angie Nguyen, Omar Bougacha, Béranger Lekens, Samir Lamouri, Robert Pellerin and Christophe Couvreur

Paper (2022)

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Department: Department of Mathematics and Industrial Engineering
Research Center: CIRRELT - Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation
IVADO - Institute for Data Valorization
PolyPublie URL: https://publications.polymtl.ca/54101/
Conference Title: International Conference on ENTERprise Information Systems (CENTERIS 2022)
Conference Location: Lisbon, Portugal
Conference Date(s): 2022-11-09 - 2022-11-11
Journal Title: Procedia Computer Science (vol. 219)
Publisher: Elsevier
DOI: 10.1016/j.procs.2023.01.371
Official URL: https://doi.org/10.1016/j.procs.2023.01.371
Date Deposited: 10 Jul 2023 16:30
Last Modified: 25 Sep 2024 16:45
Cite in APA 7: Nguyen, A., Bougacha, O., Lekens, B., Lamouri, S., Pellerin, R., & Couvreur, C. (2022, November). On the use of logistics data to anticipate drugs shortages through data mining [Paper]. International Conference on ENTERprise Information Systems (CENTERIS 2022), Lisbon, Portugal. Published in Procedia Computer Science, 219. https://doi.org/10.1016/j.procs.2023.01.371

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