Conference
Prediction of Adolescent Depression Relapse Events Using Fusion of Actigraphy and Ecological Momentary Assessment Features
Abstract
The objective of this study is to explore the application of machine learning (ML) for the prediction of relapse events in adolescents suffering from Major Depressive Disorder using actigraphy and ecological momentary assessment (EMA) data. The data were collected from 114 adolescents aged between 12 and 21 who were participating in a depression research study at the Centre for Addiction and Mental Health. They made up to 8 visits where a …
Authors
Lucasius C; Battaglia M; Strauss J; Szatmari P; Kundur D
Volume
00
Pagination
pp. 448-453
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
October 8, 2023
DOI
10.1109/icccmla58983.2023.10346863
Name of conference
2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)