National Edu News: 71st RRT Conference International on Appropriate Pedagogy of the Digital Natives  |  Guest Column: Collaboration + Research = Global Solutions   |  Teacher Insights: How Digital Technology Helps in Growth and Access to Quality Education  |  Management lessons: How Brands Use CARE to Stay on Top in Instagram  |  Hobbies &Trends: At Full Throttle  |  Finance: Bitcoin Mobile Apps Vulnerable to Security Threats: Guan-Hua Tu, MSU  |  International Edu News: Use plants' ability to tell the time to make food production more sustainable  |  International Edu News: Scientists develop new class of cancer drug with potential to treat leukaemia  |  International Edu News: Loan applications processed around midday more likely to be rejected  |  International Edu News: Researchers find climate change impacts plankton – a key marine food source  |  International Edu News: Nature must be a partner, not just a provider of services – Oxford report  |  National Edu News: Approval to MoU between India and UK on Global Innovation Partnership  |  National Edu News: Transfer of CSIR-CMERI technologies to three MSMEs  |  Parent Interventions: Child Learning Programs: How to Find the Right One for You  |  Rajagiri Round Table: Fitness Challenge for the Nation  |  
May 03, 2019 Friday 03:11:06 PM IST

AI to predict premature death

Science Innovations

Computers could greatly improve preventative healthcare in the future, suggests a new study by experts at the University of Nottingham.The team of healthcare data scientists and doctors have developed and tested a system of computer-based 'machine learning' algorithms to predict the risk of early death due to chronic disease in a large middle-aged population. 

They found this AI system was very accurate in its predictions and performed better than the current standard approach to prediction developed by human experts. Predicting death due to several different disease outcomes is highly complex, especially given environmental and individual factors that may affect them. Preventative healthcare is a growing priority in the fight against serious diseases.     The study is published in a special collections edition of ‘Machine Learning in Health and Biomedicine. The Nottingham researchers predict that AI will play a vital part in the development of future tools capable of delivering personalised medicine, tailoring risk management to individual patients


Comments