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New AI models used to predict cancer patients' mental health

January 03, 2019 / Innovation Enterprise

Researchers at the University of Surrey, in collaboration with the University of California, have developed a technique using machine learning technology to predict the severity of three common psychological symptoms cancer patients experience to enhance their quality of life. At the University of Surrey, researchers led by Payam Barnaghi, professor of machine learning intelligence, from the Center for Vision, Speech and Signal Processing (CVSSP) have created two machine learning models that are able "to accurately predict the severity of three common symptoms faced by cancer patients – depression, anxiety and sleep disturbance". "All three symptoms are associated with severe reduction in cancer patients' quality of life," the report added. To develop the models, the researchers analyzed existing data comprising of symptoms cancer patients experienced during computed tomography x-ray treatments.