The application provides a kind of
pancreatitis patient
fluid intake and output quantity comprehensive monitoring method, comprising the following steps: obtaining the
fluid intake and output quantity data and
blood gas analysis data of
pancreatitis patient and other data;Set liquid demand quantity prediction model, according to the preprocessed multidimensional
monitoring data set and liquid demand quantity prediction model, liquid demand quantity prediction is carried out;Set the
time series risk
early warning model based on LSTM, according to the preprocessed multidimensional
monitoring data set and liquid demand quantity prediction model, risk prediction is carried out;According to the prediction result of risk prediction, generate liquid management early warning information and
fluid replacement scheme adjustment suggestion;According to the prediction result of liquid demand quantity prediction, the
risk probability of future occurrence of liquid overload,
hypovolemia or
abdominal cavity high pressure syndrome of patient is predicted.The application can realize the intelligent prediction of individualized liquid demand quantity and the early dynamic early warning of complication risk, generate liquid management suggestion, to assist clinical precise and predictive liquid treatment.