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A novel machine learning approach for spatiotemporal prediction of EMS events: A case study from Barranquilla, Colombia

Anticipating the timing and location of future emergency calls is crucial for making informed decisions about vehicle location and relocation, ultimately reducing response times and enhancing service quality. A predictive model for EMS (Emergency Medical Services) events is proposed to address this...

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Principais autores: Dionicio Neira-Rodado, Juan Camilo Paz-Roa, John Willmer Escobar, Miguel Ángel Ortiz-Barrios
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2025-01-01
Serier:Heliyon
Fag:
PCA (principal component analysis)
Clustering
XGboost
Signal processing
Statistical features
Spatiotemporal classification
Online adgang:http://www.sciencedirect.com/science/article/pii/S2405844025002841
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