Fighting Food Poisoning In Las Vegas With Machine Learning

aarondubrow writes: Computer science researchers from the University of Rochester developed an app for health departments that uses natural language processing and artificial intelligence to identify likely food poisoning hot spots. Las Vegas health officials recently used the app, called nEmesis, to improve the city's inspection protocols and found it was 63% more effective at identifying problematic venues than the current state of the art. The researchers estimate that if every inspection in Las Vegas became adaptive, it could prevent over 9,000 cases of foodborne illness and 557 hospitalizations annually. The team presented the results at the 30th Association for the Advancement of Artificial Intelligence conference in February.

Comments

Wrong audience.

[Anonymous Coward]

Those who profit from food poisoning (health department) are not interested in making detection better.

This should be marketed to consumers, who don't want to get sick.

Or course, it is just a matter of time before restaurants start paying protection money to never be listed in the app.