Jonas Busk: This PhD project aims to predict recurring episodes of depression and mania by analysing behavioural smartphone data collected from patients suffering from unipolar depression and bipolar disorder. .
Changes in behavioural activity such as physical and social activity are important indicators of depression and mania, which can be monitored using the sensors build into modern smartphones.
This PhD is part of the RADMIS project, which has been granted by the Innovation Foundation in Denmark. The RADMIS project aims to design, develop, and provide clinical evidence for the use of a smartphone-based monitoring and intervention technology, which has the potential to reduce the rate of re-admission by 50% and improve health outcome, quality of life, and empowerment for patient with unipolar and bipolar disorder.
PhD project title: Machine learning for smartphone-based monitoring and treatment of unipolar and bipolar disorders
Effective start/end date 01/03/2016 → 15/06/2019
DTU supervisors: Ole Winther, Jakob Eyvind Bardram