Monitoring and Warning System of Public Health Accidents
公共卫生事件监测与预警系统

A predictive warning system framework of public health accidents is proposed based on the current public health system. Improved Back-Propagation algorithm is applied to the predictive model according to the elementary principle of artificial neural network for the first time. Using this system, the outbreak and tendency of some epidemics can be forecasted through the change of medical data rapidly. From the preliminary simulations, it could be observed that the accuracy of prediction can reach 93 percent, which shows it provides a new way for long-term forecasting of public health.