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

The accurate prediction of ambulance demand provides great value to emergency service providers and people living within a city. It supports the rational and dynamic allocation of ambulances and hospital staffing, and ensures patients have timely access to such resources. However, this task has been...

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Bibliographic Details
Main Authors: Adrian Xi Lin, Andrew Fu Wah Ho, Kang Hao Cheong, Zengxiang Li, Wentong Cai, Marcel Lucas Chee, Yih Yng Ng, Xiaokui Xiao, Marcus Eng Hock Ong
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:International Journal of Environmental Research and Public Health
Subjects:
demand prediction
ambulance deployment
emergency medical services
health informatics
emergency medicine
geospatial
Online Access:https://www.mdpi.com/1660-4601/17/11/4179

Internet

https://www.mdpi.com/1660-4601/17/11/4179

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