The study published in the journal PLOS ONE says that an AI-based computer system developed the scientists can do a better job in predicting the premature death risk largely among the middle-aged populations.
The current system leverages a standard approach to prediction developed by human experts.
When compared the machine learning based AI system was very accurate and performed better than the existing systems.
Researchers from the University of Nottingham, UK considered over half a million population aged between 40 and 69 and used their health data to study deeply.
As per Stephan Wang, an assistant professor at the University of Nottingham, predicting the risk of premature death is easy when just one disease is taken into consideration. However, things get complex, one the study includes multiple disorders and also with the condition of every individual varying due to mental and environmental factors, it certainly gets tough for the research to come to a conclusion.
“However, the new research marks a new array of hope as it is a major step forward in terms of predicting the risk of death through the AI,” adds Stephan.
Brief about PLOS ONE JOURNAL
Wiki says PLOS One is a peer-reviewed open access scientific journal published by the Public Library of Science since 2006. The journal covers primary research from any discipline within science and medicine.