Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls.

Jakobsen, Petter; Garcia-Ceja, Enrique; Riegler, Michael; Stabell, Lena Antonsen; Nordgreen, Tine; Torresen, Jim; Fasmer, Ole Bernt; Oedegaard, Ketil Joachim

Jakobsen, Petter; Garcia-Ceja, Enrique; Riegler, Michael; Stabell, Lena Antonsen; Nordgreen, Tine; Torresen, Jim; Fasmer, Ole Bernt; Oedegaard, Ketil Joachim.

Affiliation

Jakobsen P; NORMENT, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.
Garcia-Ceja E; Department of Clinical Medicine, University of Bergen, Bergen, Norway.
Riegler M; SINTEF Digital, Oslo, Norway.
Stabell LA; Simula Metropolitan Center for Digitalisation, Oslo, Norway.
Nordgreen T; Department of Informatics, University of Oslo, Oslo, Norway.
Torresen J; NORMENT, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.
Fasmer OB; Department of Clinical Medicine, University of Bergen, Bergen, Norway.
Oedegaard KJ; Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.

PLoS One ; 15(8): e0231995, 2020.

Article in En | MEDLINE | ID: mdl-32833958

Subject(s)

Bipolar Disorder/diagnosis; Bipolar Disorder/psychology; Motor Activity/physiology; Adult; Algorithms; Depression/diagnosis; Depression/psychology; Depressive Disorder, Major/diagnosis; Depressive Disorder, Major/psychology; Female; Humans; Machine Learning; Male; Mood Disorders/psychology; Neural Networks, Computer; Sensitivity and Specificity

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Full text: 1 Database: MEDLINE Main subject: Bipolar Disorder / Motor Activity Type of study: Diagnostic_studies / Prognostic_studies Limits: Adult / Female / Humans / Male Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2020 Type: Article Affiliation country: Norway

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