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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Ngā kaituhi matua:	Dionicio Neira-Rodado, Juan Camilo Paz-Roa, John Willmer Escobar, Miguel Ángel Ortiz-Barrios
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Elsevier 2025-01-01
Rangatū:	Heliyon
Ngā marau:	PCA (principal component analysis) Clustering XGboost Signal processing Statistical features Spatiotemporal classification
Urunga tuihono:	http://www.sciencedirect.com/science/article/pii/S2405844025002841
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!