the Artemis Project using big data to identify complex patterns in premature babies, making it easier to detect life-threatening conditions before visible symptoms appear.
Premature babies are at greater risk of infection as well as respiratory, cardiovascular and neurological issues. This means they must be closely monitored. University of Ontario Institute of Technology’s Carolyn McGregor has helped create a computer-assisted diagnostic tool that does just that. Working with IBM and Toronto’s Hospital for Sick Children, her system uses sensors to monitor babies and Big Data to identify complex problems. These data help identify life-threatening conditions, before visible symptoms appear.
The tool helps caregivers intervene earlier so they can reduce mortality rates for Ontario’s premature babies.