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

Clicks: 406
ID: 110132
2020
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
Current practice of assessing mood episodes in affective disorders largely depends on subjective observations combined with semi-structured clinical rating scales. Motor activity is an objective observation of the inner physiological state expressed in behavior patterns. Alterations of motor activit …
Reference Key
p2020plosapplying Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Jakobsen P;Garcia-Ceja E;Riegler M;Stabell LA;Nordgreen T;Torresen J;Fasmer OB;Oedegaard KJ;;
Journal PloS one
Year 2020
DOI
DOI not found
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.