MobiHealth News January 24, 2022
They have used data from wearable devices to measure a person’s risk of depression.
Researchers from Nanyang Technological University have created a predictive computer programme that could be used to screen individuals for risk of depression.
WHAT IT’S ABOUT
The machine learning-enabled Ycogni model detects a person’s risk of depression by analysing their physical activity, sleep patterns, and circadian rhythms, whose data are acquired from wearable devices measuring steps, heart rate, energy, and sleep.
A study applying this technology has shown 80% accuracy in identifying individuals who are at high risk of depression and those with no risk. The study involved 290 working adults who were tasked to wear Fitbit Charge 2 devices for two weeks and to complete...
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