Using machine learning to predict symptoms

Researchers at the University of Surrey have developed Artificial Intelligence that is able to predict symptoms and how severe they could be through the course of a patient's treatment. Two machine learning models were developed and are able to accurately predict the severity of common symptoms that affect cancer patients; namely depression, sleep disturbance and anxiety. Each of these symptoms can lead to a huge reduction in the patients' quality of life. The effective management of symptoms is critical in cancer treatment, and steps to assist oncology clinicians in planning their patients' course of treatment could progress into more effective treatments, and ones that are more aggressive against the cancer. Whilst patients were undergoing computed tomography x-ray treatment, researchers analysed symptoms they experienced.