Differences in mobility patterns according to machine learning models in patients with bipolar disorder and patients with unipolar disorder

• Published in: Journal of affective disorders Vol. 306; pp. 246 - 253
• Main Authors: Faurholt-Jepsen, Maria, Busk, Jonas, Rohani, Darius Adam, Frost, Mads, Tønning, Morten Lindberg, Bardram, Jakob Eyvind, Kessing, Lars Vedel
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.06.2022
• Subjects: Affect; Bipolar disorder; Bipolar Disorder - diagnosis; Digital phenotyping; Humans; Machine Learning; Mobile sensing; Mobility; Mood; Self-Assessment; Smartphone; Unipolar disorder; Digital phenotyping; Mobility; Bipolar disorder; Mobile sensing; Mood; Unipolar disorder

It is essential to differentiate bipolar disorder (BD) from unipolar disorder (UD) as the course of illness and treatment guidelines differ between the two disorders. Measurements of activity and mobility could assist in this discrimination. Aims: 1) To investigate differences in smartphone-based lo...