Construction of the Artificial Intelligence Prediction and Alert System for COVID-19
27/05/2024
27/05/2024
A team led by Associate Professor Hon Chi Tin from the Faculty of Innovation Engineering at the University of Macau Science and Technology (MUST), with the support of FDCT, has established the “Laboratory for Large-Scale Respiratory Disease Epidemic Prediction & Alert and Medical Big Data AI Applications”. The laboratory is jointly built by the MUST and the State Key Laboratory of Respiratory Disease at Guangzhou Medical University, dedicated to enhancing the early detection and warning capabilities of identifying large-scale respiratory disease pandemics. This willfacilitate the integration of international epidemiological data, and launch key research on applying big data AI in respiratory medicine, with the aim of developing AI products and applications in the same discipline.
Addressing the major needs of national epidemic prevention and control, the research team, in partnership with the Zhuhai MUST Science and Technology Research Institute in Hengqin, has collaborated with Guangzhou Laboratory, Guangzhou Institute of Respiratory Health, and Guangzhou Kingmed Center for Clinical Laboratory, Co., Ltd., to develop an AI forecasting and warning system. Through the integration of classical infectious disease dynamics models and the development of various artificial intelligence algorithms, they have established a pioneering prediction and alert system for the novel coronavirus epidemic, which effectively captures the dynamic spread of the pandemic. This provides early warning and risk assessment for epidemic outbreaks, applies services in national and local epidemic prevention & control work, as well as offers theoretical support for pandemic prevention & control strategies.
The project has tested and optimised the performances of various prediction models, combined with the development and integration of new AI algorithms. As a result, a large-scale epidemic prediction and alert system has been well established, and a COVID-19 big data visualisation platform has also been launched. Furthermore, the team members have moved into “The Centre for Science and Technology Exchange and Cooperation between China and Portuguese-Speaking Countries (CSTCP)” in Hengqin, leveraging the research and policy advantages of Macao, Zhuhai and Hong Kong, for the purpose of expediting the effective aggregation of international data resources as well as building an international catalogue framework for infectious disease datasets and a federated learning system.
Addressing the major needs of national epidemic prevention and control, the research team, in partnership with the Zhuhai MUST Science and Technology Research Institute in Hengqin, has collaborated with Guangzhou Laboratory, Guangzhou Institute of Respiratory Health, and Guangzhou Kingmed Center for Clinical Laboratory, Co., Ltd., to develop an AI forecasting and warning system. Through the integration of classical infectious disease dynamics models and the development of various artificial intelligence algorithms, they have established a pioneering prediction and alert system for the novel coronavirus epidemic, which effectively captures the dynamic spread of the pandemic. This provides early warning and risk assessment for epidemic outbreaks, applies services in national and local epidemic prevention & control work, as well as offers theoretical support for pandemic prevention & control strategies.
The project has tested and optimised the performances of various prediction models, combined with the development and integration of new AI algorithms. As a result, a large-scale epidemic prediction and alert system has been well established, and a COVID-19 big data visualisation platform has also been launched. Furthermore, the team members have moved into “The Centre for Science and Technology Exchange and Cooperation between China and Portuguese-Speaking Countries (CSTCP)” in Hengqin, leveraging the research and policy advantages of Macao, Zhuhai and Hong Kong, for the purpose of expediting the effective aggregation of international data resources as well as building an international catalogue framework for infectious disease datasets and a federated learning system.
COVID-19 Data Visualisation Platform
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Office hours: Monday to Thursday: 9:00-13:00, 14:30-17:45；Friday: 9:00-13:00, 14:30-17:30；Tel.: 28788777
Copyright(C) 2021 ALL right reserved.
Office hours: Monday to Thursday: 9:00-13:00, 14:30-17:45；Friday: 9:00-13:00, 14:30-17:30；Tel.: 28788777
Copyright(C) 2021 ALL right reserved.