DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2009.126
In this time of increasing concern over the deadly and costly threats of infectious diseases, preparation for, early detection of, and timely response to emerging infectious diseases and epidemic outbreaks are key public-health priorities and are driving an emerging field of multidisciplinary research. The four essays in this installment of Trends & Controversies discuss uses of AI in global disease surveillance. 1. J. Buehler et al., "Syndromic Surveillance and Bioterrorism-Related Epidemics," Emerging Infectious Disease, vol. 9, no. 1, 2003, pp. 197–204.
Index Terms:
Trends & Controversies, disease surveillance, syndromic surveillance, bioterrorism, spatial-contact networks, global data sharing, healthcare, epidemic monitoring and control, literature mining
Citation:
Hsinchun Chen, Daniel Zeng, David L. Buckeridge, Masoumeh Izadi, Aman Verma, Anya Okhmatovskaia, Xiaohua Hu, Xiajiong Shen, Zhidong Cao, Fei-Yue Wang, Xiaolong Zheng, Quanyi Wang, "AI for Global Disease Surveillance," IEEE Intelligent Systems, vol. 24, no. 6, pp. 66-82, Nov./Dec. 2009, doi:10.1109/MIS.2009.126 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||