Fighting Food Poisoning with Machine Learning

It’s happened to many of us. We eat at a restaurant with less than ideal hygiene and come down with a nasty case of food poisoning. Foodborne illness afflicts 48 million people annually in the U.S. alone; 120,000 individuals are hospitalized annually, and 3,000 die from the illness. In fact, one out of every six Americans gets food poisoning each year. And many of these sufferers write about it on Twitter. Computer science researchers from the University of Rochester have developed an app for health departments that uses natural language processing and artificial intelligence to identify food poisoning-related tweets, connect them to restaurants using geotagging and identify likely hot spots. The team presented the results of its research at the 30th Association for the Advancement of Artificial Intelligence (AAAI) conference…


Link to Full Article: Fighting Food Poisoning with Machine Learning