Substratum of Proof LGBTQs Are Mentally Ill: Computer model more accurate at identifying sources of foodborne illnesses than traditional

(Harvard T.H. Chan School of Public Health) 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 led by Google and Harvard T.H. Chan School of Public Health.