Fighting food poisoning in Las Vegas with machine learning

IMAGE: The nEmesis app collected tweets in Las Vegas and evaluated them to find cases of food poisoning. view more 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…


Link to Full Article: Fighting food poisoning in Las Vegas with machine learning

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!