Concepedia

Development of a global infectious disease activity database using natural language processing, machine learning, and human expertise

Joshua Feldman, Andrea Thomas-Bachli, Jack Forsyth, Zaki Hasnain Patel, Kamran Khan

Journal of the American Medical Informatics Association · 2019 · 31 citations · 9 references

DOIFull text

Open access

Abstract

Machine learning, natural language processing, and human expertise can be used to efficiently identify disease activity from digital media reports.

References

9

Big Data Opportunities for Global Infectious Disease Surveillance

Simon I Hay, Dylan B. George, Catherine L. Moyes et al. · PLoS Medicine · 2013 · 285 citations · Full text

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Big Data for Infectious Disease Surveillance and Modeling

Shweta Bansal, Gerardo Chowell, Lone Simonsen et al. · The Journal of Infectious Diseases · 2016 · 269 citations · Full text

, , +12

Evaluation of Epidemic Intelligence Systems Integrated in the Early Alerting and Reporting Project for the Detection of A/H5N1 Influenza Events

Philippe Barboza, L Vaillant, Abla Mawudeku et al. · PLoS ONE · 2013 · 89 citations · Full text

Comparison of Web-Based Biosecurity Intelligence Systems: BioCaster, EpiSPIDER and HealthMap

Aidan Lyon, Mike Nunn, Geoff Grossel et al. · Transboundary and Emerging Diseases · 2011 · 64 citations

Timeliness of Nongovernmental versus Governmental Global Outbreak Communications

Luke Mondor, John S. Brownstein, Emily H. Chan et al. · Emerging infectious diseases · 2012 · 32 citations · Full text