An Artificial Intelligence based system have been developed by the research scientists of University of Nottingham to predict the risk of early deaths due to chronic disease in middle-aged adults.
According to a study by PLOS ONE, the new AI Machine Learning models known as ransom forest and deep learning had accuracy in its predictions and performed better than the current standard approach to prediction based on human experts.
Commenting on this innovation, Assistant Professor Stephen Weng, University of Nottingham said, “We have taken a major step forward in this field by developing a unique and holistic approach to predicting a person’s risk of premature death by machine-learning. This uses computers to build new risk prediction models that take into account a wide range of demographic, biometric, clinical and lifestyle factors for each individual assessed, even their dietary consumption of fruit, vegetables and meat per day.”
The prediction of the Nottingham researchers states that AI will play a vital part in the development of the future tools, and will have a capability to deliver personalized medicine and tailoring risk management to individual patients.
For the study, the team included over half a million people aged between 40 and 69.
Professor Joe Kai, one of the clinical academics working on the project, said, “These techniques can be new to many in health research, and difficult to follow. We believe that by clearly reporting these methods in a transparent way, this could help with scientific verification and future development of this exciting field for health care.”
