A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19.

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.

A team led by researchers at the University of Cincinnati and Northwestern University created a predictive model using an integrated system of mathematical equations describing the lawful patterns in reward and aversion judgment with machine learning.

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