Abstract
The intelligent service platform for big data technology is a new approach to infectious disease management. It aims using big data technology. It integrates epidemiological, clinical and laboratory information as well as social network analysis tools, so as to detect and prevent the epidemic as early as possible by predicting its occurrence or spread to public health authorities. The project aims to develop an intelligent service platform to support the rapid collection of big data from various sources such as health departments and other relevant institutions across China, so as to promote the management of epidemics. It will also provide real-time information sharing between local governments and other relevant parties. In addition, it will provide customized services for local governments, such as epidemiological forecasting tools and national systems for monitoring disease outbreaks throughout the country.
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Meng, Y., Yang, Z., Bao, W., Wu, X. (2024). Intelligent Service Platform for Epidemic Prevention and Control Based on Big Data Technology. In: Hung, J.C., Yen, N., Chang, JW. (eds) Frontier Computing on Industrial Applications Volume 2. FC 2023. Lecture Notes in Electrical Engineering, vol 1132. Springer, Singapore. https://doi.org/10.1007/978-981-99-9538-7_35
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DOI: https://doi.org/10.1007/978-981-99-9538-7_35
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