Artificial Intelligence can Help Predict Premature Deaths: Study

Researchers have developed an Artificial Intelligence (AI)-based system to predict the risk of early deaths due to chronic disease in middle-aged adults.

The study, published by PLOS ONE journal, found that the new AI Machine Learning models known as “random forest” and “deep learning” were very accurate in its predictions and performed better than the current standard approach to prediction developed by human experts.

Such new risk prediction models take into account demographic, biometric, clinical and lifestyle factors for each individual, and assess even their dietary consumption of fruit, vegetables and meat per day, said Stephen Weng, Assistant Professor at the University of Nottingham in Britain.

The traditionally-used “Cox regression” prediction model, based on age and gender, was found to be the least accurate at predicting mortality and also a multivariate Cox model which worked better but tended to over-predict risk.