Prediction of Adolescent Depression Relapse Events Using Fusion of Actigraphy and Ecological Momentary Assessment Features-Reference-Cited by-同舟云学术

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Prediction of Adolescent Depression Relapse Events Using Fusion of Actigraphy and Ecological Momentary Assessment Features

Published:2023-10-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)
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Author:

Lucasius Christopher¹,Battaglia Marco²,Strauss John³,Szatmari Peter²,Kundur Deepa⁴

Affiliation:

1. University of Toronto,Dept. of Electrical and Computer Engineering,Toronto,Canada

2. Cundill Centre for Child and Youth Depression Centre for Addiction and Mental Health Toronto,Canada

3. University of Toronto,Vancouver Island Health Authority,Vancouver,Canada

4. Centre for Addiction and Mental Health Toronto,Dept. of Electrical and Computer Engineering,Toronto,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10346237/10346217/10346863.pdf?arnumber=10346863

Reference27 articles.

1. Evidence-Base Update of Psychosocial Treatments for Child and Adolescent Depression;Weersing,2017

2. Health Brains at Work: Estimating the Impact of Workplace Mental Health Benefits and Programs;Sutherland,2016

3. Major depressive disorder in children and adolescents

4. The Risk for Early-Adulthood Anxiety and Depressive Disorders in Adolescents With Anxiety and Depressive Disorders

5. Recognizing and treating depression in children and adolescents

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