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Prediction Model of Deep Learning for Ambulance Transports in Kesennuma City by Meteorological Data
PURPOSE: With the aging population in Japan, the prediction of ambulance transports is needed to save the limited medical resources. Some meteorological factors were risks of ambulance transports, but it is difficult to predict in a classically statistical way because Japan has 4 seasons. We tried t...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Dove
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7850460/ https://www.ncbi.nlm.nih.gov/pubmed/33536798 http://dx.doi.org/10.2147/OAEM.S293551 |