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Using smart phone mobility traces for the diagnosis of depressive and manic episodes in bipolar patients.

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Smartphones in Mental Health: Detecting Depressive and Manic Episodes., , , , , and . CoRR, (2015)Smartphone-Based Recognition of States and State Changes in Bipolar Disorder Patients., , , , , , , , and . IEEE J. Biomedical and Health Informatics, 19 (1): 140-148 (2015)Personal health systems for bipolar disorder Anecdotes, challenges and lessons learnt from MONARCA project., , , , , , , , , and 11 other author(s). PervasiveHealth, page 424-429. IEEE, (2013)Sensors vs. human: comparing sensor based state monitoring with questionnaire based self-assessment in bipolar disorder patients., , , , , and . ISWC, page 133-134. ACM, (2014)Using smart phone mobility traces for the diagnosis of depressive and manic episodes in bipolar patients., , , , , , , and . AH, page 38:1-38:8. ACM, (2014)Monitoring activity of patients with bipolar disorder using smart phones., , , , , and . MoMM, page 85. ACM, (2013)Activity and emotion recognition to support early diagnosis of psychiatric diseases., , , , , , and . PervasiveHealth, page 100-102. IEEE, (2008)