A Deep Kernel Learning Framework for Probabilistic Spatiotemporal Forecasting of Emergency Medical Services Call Volume

cirpublications.com-8Kwf-1790880687-n108063880 1790880687 Clinical Intelligence Research Press info@cirpublications.com Clinical Intelligence Research Press Journal of Artificial Intelligence for Healthcare Systems J. Artif. Intell. Healthc. Syst. 3149-8981 2024 3 2 A Deep Kernel Learning Framework for Probabilistic Spatiotemporal Forecasting of Emergency Medical Services Call Volume Peter Novak Jana Svoboda 2024 10.68159/n108063880 https://cirpublications.com/pub/journal/1/article/n108063880 Lin AX, Ho AF, Cheong KH, Li Z, Cai W, Chee ML, et al. Leveraging machine learning techniques and engineering of multi-nature features for national daily regional ambulance demand prediction. Int J Environ Res Public Health. 2020;17(11):4179. Martin RJ, Mousavi R, Saydam C. Predicting emergency medical service call demand: a modern spatiotemporal machine learning approach. Oper Res Health Care. 2021;28:100285. Monks T, Harper A, Allen M, Collins L, Mayne A. 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