Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls-Reference-Cited by-同舟云学术

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

Published:2020-08-24 Issue:8 Volume:15 Page:e0231995
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

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

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference53 articles.

1. Areas of uncertainties and unmet needs in bipolar disorders: clinical and research perspectives;M Bauer;The Lancet Psychiatry,2018

2. Activation in bipolar disorders: A systematic review;J Scott;JAMA Psychiatry,2017

3. Activity monitoring in patients with depression: A systematic review;C Burton;Journal of Affective Disorders,2013

4. Actigraphically assessed activity in unipolar depression: a comparison of inpatients with and without motor retardation;K Krane-Gartiser;Journal of clinical psychiatry,2015

5. Depressive mixed states: A reappraisal of Koukopoulos׳criteria;GL Faedda;Journal of Affective Disorders,2015

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