“A new automated data analytics program is crucial for the early detection of signals and predications for regulated chemicals that may pose highly hazardous health risks at the Food and Drug Administration.”
“The agency’s Center for Food Safety and Applied Nutrition first initiated the project, called the Emerging Chemical Hazard Intelligence Platform. It allows the center to anticipate potential chemicals associated with adverse health events before they get out of control, explained its Office of Food Additive Safety’s Informatics and Information Systems Lead and Senior Policy Advisor Ernest Kwegyir-Afful…”
“Instead of reacting to regulated chemical outbreaks after they occur, the center adopted its intelligence platform to anticipate through text analytics to discover chemical risks earlier in the signal lifecycle and to better manage potentially harmful public health events.”
“In preparation of the solution, the FDA established a Food Advisory Committee comprised of toxicologists, chemists, public health officials and other experts to look at the different data streams of information that could be used to create predictive models and train them using human-curated data. These models would…” Read the full article here.
Source: Machine Learning, Text Analytics Aid in Food Safety at FDA – By Faith Ryan, September 3, 2019. GovernmentCIO.
