With influenza cases elevated nationally and widespread throughout the country, researchers led by Boston Children’s Hospital contend that machine learning can produce highly accurate local flu surveillance.
In fact, they say that combining two forecasting methods with artificial intelligence produces the most accurate estimates of flu activity available to date—a week ahead of traditional healthcare-based reports, at the state level across the United States.
