AI for Global Disease Surveillance

Authors:
Hsinchun Chen;Daniel Zeng;David L. Buckeridge;Masoumeh Izadi Izadi;Aman Verma;Anya Okhmatovskaia;Xiaohua Hu;Xiajiong Shen;Zhidong Cao;Fei-Yue Wang;Xiaolong Zheng;Quanyi Wang
Affiliations:
University of Arizona;University of Arizona;McGill University;McGill University;McGill University;McGill University;McGill University;McGill University;Chinese Academy of Sciences;Chinese Academy of Sciences;Chinese Academy of Sciences;Beijing Center for Disease Control and Prevention
Venue:
IEEE Intelligent Systems
Year:
2009

Citing 0
Cited 2

A geospatial analysis on the potential value of news comments in infectious disease surveillance

PAISI'11 Proceedings of the 6th Pacific Asia conference on Intelligence and security informatics
When Is the Right Time to Refresh Knowledge Discovered from Data?

Operations Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.