Research on the Governance of Public Health Emergencies Based on Artificial Intelligence Applications

This paper studies the application of artificial intelligence technology in the governance of public health emergencies. This paper thoroughly analyzed the role of artificial intelligence in critical areas such as epidemic monitoring (including data collection using advanced sensors and intelligent terminal devices and processing and analyzing using big data technology), early warning and prediction (covering establishing models based on machine learning and deep learning algorithms and enhancing the effect by combining external factor data such as meteorology and geology), decision support (including building an intelligent decision support sys-tem to integrate data and optimize decisions and providing policy formulation and adjustment suggestions based on big data analysis), and resource scheduling (involving building an intelligent resource allocation system to achieve accurate calculation and optimized allocation of resources and using big data analysis technology for efficient scheduling and management of personnel). It presents several feasible governance strategies and recommendations. The research results show that artificial intelligence technology can effectively improve the efficiency and accuracy of the governance of public health emergencies and provide scientific decision-making support for the government and relevant departments.