Using deep LEARNing to predict MOOD changes in patients with depression
17 August 2020
Huge amounts of interesting data can be collected from consumer wristwatch fitness trackers such as the popular 'Fitbits'. Some evidence suggests this information can be used to detect mood changes. This could be very useful especially in patients with mood disorders such as depression. This study will look at whether we are able to detect mood changes in people with depression using information collected from wristwatch fitness trackers.
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Ethical approval
This study received ethical approval from the NHS Surrey Research Ethics Committee on the 26th June 2020.
