Artificial neural network in the prediction of nosocomial infection risk / 中南大学学报(医学版)

ABSTRACT

OBJECTIVE@#To establish a model based on artificial neural network in the prediction of nosocomial infection risk.@*METHODS@#Clinical data of 27,352 inpatients extracted from hospital information system were cleaned and coded, and the model of prediction in nosocomial infection risk was developed based on artificial neural network.@*RESULTS@#The structure of artificial neural network is {16-6-1}-BP, and the fit rate of prediction was 0.9891. The area under ROC curve was 0.986.@*CONCLUSION@#Artificial neural network model can be used as a tool for nosocomial infection forecasting, which can provide supplementary information for the diagnosis and control of nosocomial infection.