Cincinnati and Northwestern University developed a “tool in artificial intelligence” to predict whether someone is willing to receive a COVID-19 shot.
A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19.
Revelations 13 15 And he had power to give life unto the image of the beast, that the image of the beast should both speak, and cause that as many as would not worship the image of the beast should be killed.
16 And he causeth all, both small and great, rich and poor, free and bond, to receive a mark in their right hand, or in their foreheads:
17 And that no man might buy or sell, save he that had the mark, or the name of the beast, or the number of his name.
18 Here is wisdom. Let him that hath understanding count the number of the beast: for it is the number of a man; and his number is Six hundred threescore and six. Understanding factors driving vaccine hesitancy is crucial to vaccination success. A team of researchers has developed a “powerful new tool in artificial intelligence” (AI) Researchers at the University of Cincinnati and Northwestern University developed a “tool in artificial intelligence” to predict whether someone is willing to receive a COVID-19 shot.
The “system integrates the math of human judgment with machine learning to predict vaccine hesitancy,” according to the University of Cincinnati. Background: Despite COVID-19 vaccine mandates, many chose to forgo vaccination, raising questions about the psychology underlying how judgment affects these choices. Research shows that reward and aversion judgments are important for vaccination choice; however, no studies have integrated such cognitive science with machine learning to predict COVID-19 vaccine uptake.
Predicting COVID-19 Vaccination Uptake Using a Small and Interpretable Set of Judgment and Demographic Variables: Cross-Sectional Cognitive Science Study https://publichealth.jmir.org/2024/1/e47979
Powerful new AI can predict people's attitudes to vaccines System integrates the math of human judgment with machine learning to predict vaccine hesitancy The predictive system uses a small set of data from demographics and personal judgments such as aversion to risk or loss.
The findings frame a new technology that could have broad applications for predicting mental health and result in more effective public health campaigns. https://www.uc.edu/news/articles/2024/01/ai-can-predict-patient-attitudes-to-vaccines.html