Short-term forecasting of emergency medical services demand exploring machine learning

This study addresses the challenge of forecasting short-term demand in Emergency Medical Services (EMS) using machine learning techniques, which is essential for improving resource allocation, optimizing response times, and enhancing overall system efficiency. In emergency situations, the swift allo...

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Vydáno v:	Computers & industrial engineering Ročník 200; s. 110765
Hlavní autoři:	Shahidian, Nika, Abreu, Paulo, Santos, Daniel, Barbosa-Povoa, Ana
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.02.2025
Témata:	Boosting algorithms Computational complexity analysis Genetic algorithms Machine learning Short-term forecasting Computational complexity analysis Short-term forecasting Machine learning Boosting algorithms Genetic algorithms
ISSN:	0360-8352
On-line přístup:	Získat plný text
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