Artificial intelligence (AI) technology has made new breakthroughs in the monitoring and early warning of influenza, hand-foot-mouth, and other epidemics. Yesterday, Ping An and the Chongqing Center for Disease Control and Prevention jointly announced the latest advances in the prediction of intelligent diseases: Chongqing intelligent disease prediction and screening models, can predict the occurrence of infectious diseases a week in advance to guide the public for disease prevention.
Chongqing monitoring data show that the use of influenza, hand, foot and mouth disease prediction model, can predict the occurrence of infectious diseases a week in advance, the accuracy of influenza and hand, foot and mouth disease prediction model reached more than 86%, the high season prediction accuracy rate can reach more than 90%; The application of the COPD intelligent screening model can significantly reduce screening costs and improve screening efficiency. The accuracy of this model reached 92%.
Influenza is a disease of global prevention and control. The risk of a global epidemic has always existed. This forecast can help government departments improve efficiency in the prevention and control of related diseases and reduce disease prevention and control costs.
It is understood that the research on the two models of intelligent disease prediction and screening in Chongqing is the first application of "artificial intelligence + big data" in combination with disease prevention and control. It was specifically established by Chongqing CDC Infectious Disease Team and Ping An Technology. The research team completed. The research group proposed the “macro + micro†method for predicting the depth of intelligent diseases, integrated tens of thousands of dimensional data factors for modeling, used city-level data collected on government platforms, combined with the actual business experience and expert knowledge of local disease prevention and control, and more Close to the status quo in Chongqing, the accuracy is also higher than the traditional method.
The Chongqing Disease Control Center task force stated that the disease prediction project involves areas such as disease prevention and control, clinical medicine, big data, and artificial intelligence. It is a subject that involves cross-disciplines.
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