Prediction Model of Deep Learning for Ambulance Transports in Kesennuma City by Meteorological Data.
Ohmi WatanabeNorio NaritaMasahito KatsukiNaoya IshidaSiqi CaiHiroshi OtomoKenichi YokotaPublished in: Open access emergency medicine : OAEM (2021)
We could statistically make polynomial curves between the meteorological variables and the number of ambulance transport. We also preliminarily made DL-based prediction models. The DL-based prediction for daily ambulance transports would be used in the future, leading to solving the lack of medical resources in Japan.