Leveraging machine learning techniques and engineering of multi-nature features for national daily regional ambulance demand prediction
10.3390/ijerph17114179
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2021
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sg-nus-scholar.10635-1981872024-04-25T06:34:13Z Leveraging machine learning techniques and engineering of multi-nature features for national daily regional ambulance demand prediction 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. DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) DEPARTMENT OF COMPUTER SCIENCE Ambulance deployment Complexity science Demand prediction Emergency medical services Emergency medicine Geospatial Health informatics Nonlinear dynamics 10.3390/ijerph17114179 International Journal of Environmental Research and Public Health 17 11 15-Jan 2021-08-19T04:59:35Z 2021-08-19T04:59:35Z 2020 Article 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. (2020). Leveraging machine learning techniques and engineering of multi-nature features for national daily regional ambulance demand prediction. International Journal of Environmental Research and Public Health 17 (11) : 15-Jan. ScholarBank@NUS Repository. https://doi.org/10.3390/ijerph17114179 1661-7827 https://scholarbank.nus.edu.sg/handle/10635/198187 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ MDPI AG Scopus OA2020 |
| institution |
National University of Singapore |
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NUS Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NUS Library |
| collection |
ScholarBank@NUS |
| topic |
Ambulance deployment Complexity science Demand prediction Emergency medical services Emergency medicine Geospatial Health informatics Nonlinear dynamics |
| spellingShingle |
Ambulance deployment Complexity science Demand prediction Emergency medical services Emergency medicine Geospatial Health informatics Nonlinear dynamics 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. Leveraging machine learning techniques and engineering of multi-nature features for national daily regional ambulance demand prediction |
| description |
10.3390/ijerph17114179 |
| author2 |
DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) |
| author_facet |
DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) 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. |
| format |
Article |
| author |
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. |
| author_sort |
Lin, A.X. |
| title |
Leveraging machine learning techniques and engineering of multi-nature features for national daily regional ambulance demand prediction |
| title_short |
Leveraging machine learning techniques and engineering of multi-nature features for national daily regional ambulance demand prediction |
| title_full |
Leveraging machine learning techniques and engineering of multi-nature features for national daily regional ambulance demand prediction |
| title_fullStr |
Leveraging machine learning techniques and engineering of multi-nature features for national daily regional ambulance demand prediction |
| title_full_unstemmed |
Leveraging machine learning techniques and engineering of multi-nature features for national daily regional ambulance demand prediction |
| title_sort |
leveraging machine learning techniques and engineering of multi-nature features for national daily regional ambulance demand prediction |
| publisher |
MDPI AG |
| publishDate |
2021 |
| url |
https://scholarbank.nus.edu.sg/handle/10635/198187 |
| _version_ |
1800914943099273216 |