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

• 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
• Institution: National University of Singapore

10.3390/ijerph17114179