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ic liver transplantation include preoperative CRE infection and pre-ICU CRE colonization. CRE infection progresses quickly, with a poor prognosis and a high mortality rate. The CRE screening of anal swabs is crucial for the early detection of CRE infection. The purpose of this study is to develop a novel data-driven hybrid model by fusing ensemble empirical mode decomposition (EEMD), seasonal autoregressive integrated moving average (SARIMA), with nonlinear autoregressive artificial neural network (NARNN), called EEMD-ARIMA-NARNN model,