In an exciting collaboration with the School of Computer Science and the Advanced Data Analysis Centre (ADAC), researchers in the Division of Primary Care demonstrated that a novel approach using “machine-learning” was significantly more accurate in predicting cardiovascular disease than an established risk prediction approach. This will lead to better-targeted preventive treatment for those who need it, and its avoidance for those who do not. This was front-page news in Science Magazine(April 2017) "Self-taught artificial intelligence beats doctors at predicting heart attacks".
Read the University of Nottingham press release about this research, which was recently published in PLoS ONE.
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