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Can Machine Learning Models Predict Premature Death?
The development of the ML-based mortality prediction approach will potentially revolutionize preventive care in the healthcare sector.
FREMONT, CA – The inception of artificial intelligence (AI) and machine learning (ML) is revolutionizing innovation and work processes in various sectors, and this includes the healthcare sector. ML systems have come as far as to predict premature death in patients.
A team of researchers from the University of Nottingham recently developed and tested an ML model capable of training itself to predict premature deaths. It has paved a new path toward preventative healthcare.
ML models have already established their presence in the medical landscape, especially in the prediction of cancer. The new ML algorithms developed by the researchers will be able to predict the risk of early deaths due to chronic disease in a mostly middle-aged population.
The ML model was build using the data collected from over 500,000 people aged between 40 and 69 recruited between 2006 and 2010. The people who took part in the project were subjected to various tests. They also had to provide blood, urine, and saliva samples for analysis, along with detailed medical information. The model was then used to analyze a range of demographic, biometric, clinical, and lifestyle factors from the subjects, including their dietary consumption of fruit, vegetables, and meat per day.
The predictions drawn by the ML model were mapped to the mortality data from the cohort, using the death records from the Office of National Statistics, the UK cancer registry, and hospital episodes statistics. The ML algorithms drew more accurate predictions when compared to the standard prediction models developed by human experts.
The ML model has opened new opportunities in the medical sector. It will potentially enable medical professionals to accurately identify potential health threats in patients and develop preventative methods. The transparent reporting approach facilitated by the ML systems will enable scientific verification and evolution of preventative care.
The research will spur the development of a robust foundation for revolutionary medical tools capable of delivering personalized medicine and tailoring risk management to individual patients. The new approach of mortality prediction has significantly advanced the field of Artificial Intelligence, providing a unique and holistic approach for the healthcare sector to predict the risk of premature death.