Unipolar and Bipolar Depression Detection and Classification Based on Actigraphic Registration of Motor Activity Using Machine Learning and Uniform Manifold Approximation and Projection Methods

Unipolar and Bipolar Depression Detection and Classification Based on Actigraphic Registration of Motor Activity Using Machine Learning and Uniform Manifold Approximation and Projection Methods

Modern technology frequently uses wearable sensors to monitor many aspects of human behavior. Since continuous records of heart rate and activity levels are typically gathered, the data generated by these devices have a lot of promise beyond counting the number of daily steps or calories expended. D...

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Bibliographic Details
Main Authors: Mohammed Zakariah, Yousef Ajami Alotaibi
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Diagnostics
Subjects:
depression
unipolar detection
bipolar disorder
classification-based
motor activity
machine-learning
Online Access:https://www.mdpi.com/2075-4418/13/14/2323

Internet

https://www.mdpi.com/2075-4418/13/14/2323

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