The Research of Artificial Intelligence Assisted Real-Time Monitoring and Response System for Infectious Disease Outbreaks

At the beginning of the 21st century, major infectious diseases represented by novel coronavirus continued to break out worldwide, making the traditional monitoring and response mechanisms have certain limitations. The research of AI-assisted real-time monitoring and response system for infectious diseases mainly focuses on the use of artificial intelligence technology to achieve real-time collection, analysis and early warning of epidemic data, assist relevant departments to quickly respond to changes in the epidemic situation, and improve the efficiency of epidemic prevention and control. The article tests the accuracy of the epidemic prediction system for infectious diseases in various regions. Region A has a prediction accuracy of 0.82, a recall rate of 0.78, and an F1 score of 0.80. This article provides new theoretical basis and technical support for the prevention and control of major diseases in China, and has important theoretical and practical significance for the development of China's public health industry.