Leveraging machine learning techniques and engineering of multi-nature features for national daily regional ambulance demand prediction

Leveraging machine learning techniques and engineering of multi-nature features for national daily regional ambulance demand prediction

10.3390/ijerph17114179

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Bibliographic Details
Main Authors: Lin, A.X., Ho, A.F.W., Cheong, K.H., Li, Z., Cai, W., Chee, M.L., Ng, Y.Y., Xiao, X., Ong, M.E.H.
Other Authors: DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
Format: Article
Published: MDPI AG 2021
Subjects:
Ambulance deployment
Complexity science
Demand prediction
Emergency medical services
Emergency medicine
Geospatial
Health informatics
Nonlinear dynamics
Online Access:https://scholarbank.nus.edu.sg/handle/10635/198187
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Institution: National University of Singapore

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