Predictive Models May Complement or Provide an Alternative to Existing Strategies for Assessing the Enteric Pathogen Contamination Status of Northeastern Streams Used to Provide Water for Produce…

RT @FrankYiannasFDA: Study, machine learning models that use public-data (e.g., land-use, weather) may be useful in predicting likelihood o…

RT @FrankYiannasFDA: Study, machine learning models that use public-data (e.g., land-use, weather) may be useful in predicting likelihood o…

RT @FrankYiannasFDA: Study, machine learning models that use public-data (e.g., land-use, weather) may be useful in predicting likelihood o…

Study, machine learning models that use public-data (e.g., land-use, weather) may be useful in predicting likelihood of ag water being contaminated with pathogens such as Salmonella & Shiga-toxin producing E. coli. #SmarterFoodSafety @foodsafetyprof h