Interesting research out of Singapore’s Nanyang Technological University. Depression is tricky and hard to talk about, let alone quantify. The researchers were able to diagnose depression with an 80% accuracy.
Via Find Biometrics:
In the study, the researchers asked 290 adult participants to wear Fitbit Charge 2 devices for 14 straight days, taking them off only to shower and to recharge the battery. The Fitbits tracked physical activity, heart rate, energy levels, and sleep patterns, and then analyzed that data with a Ycogni machine learning model that was built to predict depression.
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