Ping An and Chongqing CDC jointly announced the latest progress in intelligent disease prediction: as the first combination of “artificial intelligence + big data†and disease prevention and control, Chongqing intelligent disease prediction and screening two models, currently in the prediction of infectious diseases And the phased results of screening for chronic disease risk factors, can predict the occurrence of infectious diseases one week in advance, guide the people to prevent diseases, help the government departments to improve efficiency in the prevention and control of related diseases, and reduce the cost of disease prevention and control.
Chongqing monitoring data show that the application of influenza, hand, foot and mouth disease prediction model can predict the occurrence of infectious diseases one week ahead of time, the accuracy rate of influenza and hand, foot and mouth disease prediction models are more than 86%, and the accuracy rate of high-yield season can reach more than 90%; The application of the COPD intelligent screening model can significantly reduce the cost of screening and improve the screening efficiency. The accuracy of this model is 92%.
At present, the research results of the two models of intelligent disease prediction and screening have been transformed into "Chongqing City Chronic Obstructive Pulmonary Risk Intelligent Intelligence Report" and "Chongqing City Flu and Hand, Foot and Mouth Disease Prediction Research Report", and on November 19 In the expert review meeting of the Chongqing Municipal Disease Prediction Project, it was confirmed by experts.
According to reports, Chongqing's research on intelligent disease prediction and screening, the research group proposed a "macro + micro" deep intelligent disease prediction method, integrated tens of thousands of dimensional data factors for modeling, using the city level collected on the government platform The data, combined with the actual business experience and expert knowledge of local disease prevention and control, is closer to the current situation in Chongqing, and the accuracy is significantly higher than the traditional method, which fully reflects the business application advantages and practical value of multidimensional data sources.
The Chongqing CDC research team said that the disease prediction project involves the fields of disease prevention and control, clinical medicine, big data and artificial intelligence. It is a subject involving interdisciplinary subjects, and its research complexity and difficulty are very high. In the next step, the research team will further carry out four aspects of work based on the previous research, including: continue to optimize the model, improve the accuracy of infectious disease prediction and COPD screening; and expand research on more infectious diseases; Jointly conducted the research on the health economic value of the model of chronic obstructive pulmonary disease and influenza, hand, foot and mouth disease in Chongqing; the application of infectious disease prediction and chronic disease screening research results.
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