Computer model identifies sources of foodborne illnesses more accurately
Tuesday, November 6, 2018 - 08:40
in Mathematics & Economics
A new computer model that uses machine learning and de-identified and aggregated search and location data from logged-in Google users was significantly more accurate in identifying potentially unsafe restaurants when compared with existing methods of consumer complaints and routine inspections, according to new research.