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

Title
Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls
Authors
Keywords
Depression, Machine learning, Neural networks, Machine learning algorithms, Memory recall, Statistical data, Bipolar disorder, Emotions
Journal
PLoS One
Volume 15, Issue 8, Pages e0231995
Publisher
Public Library of Science (PLoS)
Online
2020-08-25
DOI
10.1371/journal.pone.0231995

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now