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

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

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

Authors: P. Jakobsen, E. Garcia-Ceja, M. Riegler, L. A. Stabell, T. Nordgreen, J. Torresen, O. B. Fasmer and K. J. Oedegaard
Status: Published
Publication type: Journal Article
Year of publication: 2020
Journal: PLOS ONE
Publisher: PLOS ONE
URL: https://dx.plos.org/10.1371/journal.pone.0231995
DOI: https://doi.org/10.1371/journal.pone.0231995
Citation key: 15938

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