Mining Big Data to Improve Food Safety

It’s not uncommon for people to use the internet to research their health concerns by entering their symptoms in a search engine like Google. Now, that data may help identify potentially unsafe restaurants faster and with more accuracy than traditional methods. Developed by Google, the model, called FINDER, uses machine learning on large-scale, de-identified data to more proactively identify restaurants that might have gaps in food safety.

“Our model works by classifying web search qu…