Development Of A Global Infectious Disease Activity Database Using Natural Language Processing, Machine Learning, And Human Expertise

This new analysis researchers Joshua Feldman, Andrea Thomas-Bachli, Jack Forsyth, Zaki Hasnain Patel and Kamran Khan at Harvard University's School of Engineering and Applied Sciences, Li Ka Shing Knowledge Institute, BlueDot and the University of Toronto Department of Medicine's Division of Infectious Diseases presents a novel human-machine hybrid analytic pipeline in which GDELT and other information sources are used to identify potential outbreak reporting, which is then manually reviewed by human medical experts.

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