How Big Data And Machine Learning Can Predict And Prevent Isolated Cases Of Disease

Sanket ShahThought Leadership

Predicting when and where disease will occur would be of great assistance to medical professionals and public health officials, who could more aggressively focus public awareness campaigns and other programs on certain populations to inhibit the development and spread of measles, or other potentially deadly viruses. In fact, the World Health Organization’s risk assessment tool has been successfully used to guide and strengthen measles elimination program activities by helping officials identify areas failing to meet their measle vaccination targets.

But more difficult to predict are the isolated instances spread across many states. For that kind of predictive power, you need access to BIG DATA.

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