Machine learning and data mining for epidemic surveillance

Kofod-Petersen, Anders

doi:10.5694/mja12.10283

Social networking and search engine data confer real-time advantages

The population-level pattern-based nature of epidemiological research makes it well suited for computational work in general, and for machine learning in particular. The social nature of disease spread makes recent trends in social media computing specifically amenable to epidemiological research, but can computational techniques be reliable indicators and predictors of communicable disease?

1 SINTEF, Trondheim, Norway.
2 Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway.

Correspondence: anderpe@idi.ntnu.no

Competing interests:

No relevant disclosures.

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