Mood state and outcome prediction in mood disorders using digital phenotyping andmachine learning

Individuals with mood disorders suffer with a significant burden. Beside experiencing mood symptoms, they also have cognitive and functioning impairments, are at greater risk of suicide and hospitalization, and have a poorer quality of life. Traditional psychiatric assessments are subjective and not able to capture events in real-time. Smartphone assessments and digital phenotyping – the […]

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