An artificial intelligence (AI)-based computer system has been developed and tested by the scientists, which will be very beneficial for patients suffering from chronic diseases.
The AI-based tool will predict the risk of early death due to chronic diseases in a large middle-aged population, as per the study, published in the journal PLOS ONE.
The system of computer-based ‘machine learning’ algorithms was very accurate in its predictions and performed better than the current standard approach to prediction developed by human experts, according to the study.
“Most applications focus on a single disease area but predicting death due to several different disease outcomes is highly complex, especially given environmental and individual factors that may affect them,” said Stephen Weng, Assistant Professor at the University of Nottingham.
“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,” Weng said in a statement.
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Researchers at the University of Nottingham in the UK used health data from over half a million people aged between 40 and 69 for the study.
“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,” he said.
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