Health
Pain hides in our data – EurekAlert
In a new study, researchers developed and applied machine-learning algorithms to physiological data from patients with chronic pain from sickle cell disease. Not…
A research team led by Northwestern University faculty and alumni has found it’s possible to understand a patient’s pain level by examining data from vital signs.
In a new study, the team developed and applied artificial intelligence (A.I.), or machine-learning, algorithms to physiological data — including respiratory rate, blood pressure, heart rate, body temperature and oxygen levels — from patients with chronic pain from sickle cell disease. Not only did the researchers’ approach outperform…
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