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Comparison of autoregressive integrated moving average model and generalised regression neural network model for prediction of haemorrhagic fever with renal syndrome in China: a time-series study.

Ya-Wen WangZhong-Zhou ShenYu Jiang
Published in: BMJ open (2019)
The hybrid ARIMA-GRNN model was better than single ARIMA and basic GRNN model in forecasting monthly incidence of HFRS in China. It could be considered as a decision-making tool in HFRS prevention and control.
Keyphrases
  • neural network
  • decision making
  • risk factors
  • case report