Prediction Analysis of Infectious Diseases Based on ARIMA-LSTM Mixed Model
Infectious diseases have always been a hot topic in scientific research,and using scientific methods to control the spread of infectious diseases plays a crucial role in the entire country and even the world.This paper selects COVID-19 infected persons in class B infectious diseases as the research object,collects the cumulative number of confirmed cases of COVID-19 infection in Beijing from January 2022 to April 2022,forms a time series,and conducts prediction analysis based on a mixed model of autoregressive moving average model(ARIMA)and Long Short-Term Memory(LSTM).The results indicate that the prediction results of the mixed model are basically consistent with the actual situation.
time seriesARIMA modelLSTM modelcombinatorial prediction model
国家科技期刊平台
NSTL
万方数据
维普
