Monitoring and early warning of artificial intelligence system in public health safety law

Artificial intelligence technology, with its high efficiency, precision, automation and other characteristics, has become a new idea and a new method to solve the problem of public health security. A monitoring and early warning method of public health security based on artificial intelligence system is proposed. Based on the application status and development trend of artificial intelligence technology in the field of public health security, this method is proposed. The system needs feature extraction and selection of data to extract the features related to public health events. Technology such as machine learning and deep learning can be used for feature extraction and selection to obtain the most predictive features. By using advanced algorithms and models, the method can analyze various types of data to identify potential public health risks and provide early warnings to relevant authorities and the public. This method can help authorities and the public to detect and respond to public health emergencies in a timely and effective manner, thereby preventing the spread of diseases and reducing the impact of public health threats on people's lives and health.

Automated summary

Artificial intelligence technology is a new idea and method to solve the problem of public health security, providing high efficiency, precision, and automation. A monitoring and early warning method based on an artificial intelligence system is proposed, using feature extraction and selection, machine learning and deep learning technologies to analyze various data and identify potential risks for public health. This method can help detect and respond to public health emergencies in a timely and effective manner, preventing the spread of diseases and reducing the impact on people's lives and health.