… It has been listed as a legal Class C infectious disease [3]. An infectious diarrhea case, …
In this study, the weekly numbers of infectious diarrhea cases in Jiangsu Province during …

… A machine learning algorithm called the Random Forest is … on the prevalence of infectious
diarrhea in Jiangsu province of … When predicting future infectious diarrhea cases, we use an …

… employed to predict infectious diarrhea together with other infectious diseases. For … random
forest regression to predict the weekly incidence of infectious diarrhea in Shanghai, China [3]…

… infectious diarrhea (OID) was defined as infectious diarrhea other than cholera, dysentery,
and typhoid or paratyphoid fever [3]. In China, … models that forecast the incidence of OID in the …

… we use Random Forest to choose the top 2 climate factors as input features for each province
… and ARIMAX models in forecasting diarrhoea incidence in Jiangsu Province in China. The …

… data from 2012 to 2016 in Jiangsu province, a univariate ARIMA model (1,… prediction is
conducted using the optimal model which was applied to predict the infectious diarrhea incidence …

… areas and approaches to predict diarrheal illness outcomes. This … weather and search data
in Xiamen, China. Sci Program. … The epidemiology of hospitalization with diarrhea in rural …

… Qinghai Province, followed by the Jiangsu… incidence of diarrhoea compared with respiratory
infections in the current research. Previous studies on imported infectious diseases in China …

… 7] have shown that diarrhoea infections in South Africa are attributed to nosocomial infections
or community … For example, in Western Cape province of South Africa, the rate of diarrhoea …

… Xinyu Fang compared a random forest model to autoregressive integrated moving average
(ARIMA) models to predict infectious diarrhea disease in Jiangsu Province in China where …