Application of deep learning technology in intelligent decision support and risk warning of information management system

The purpose of this study is to explore the design of intelligent decision support and risk warning system of information management system based on deep learning technology. By using the methods of deep learning, data mining, risk assessment and intelligent decision support, an innovative deep learning technology is proposed in the application of intelligent decision support and risk early warning of information management system, aiming at improving the intelligent decision ability and risk early warning ability of information management system. The deep learning method is used to train the deep learning model to learn a large amount of data in order to realize intelligent decision support and risk warning for the information management system. Data mining method is used to find potential risk factors and decision support information by analyzing the correlation between data. The risk assessment method is used to assess and predict the potential risks facing the system. Finally, intelligent decision support method is used to provide personalized decision support and risk warning information for users.