Detection of child depression using machine learning methods

Open Access

Peer-reviewed

Research Article

About the Authors

Umme Marzia Haque

Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Writing – original draft, Writing – review & editing

Affiliation School of Sciences, University of Southern Queensland, Toowoomba, Australia

Enamul Kabir

Roles Supervision, Writing – review & editing

Affiliation School of Sciences, University of Southern Queensland, Toowoomba, Australia

Rasheda Khanam

Roles Supervision

Affiliation School of Business, University of Southern Queensland, Toowoomba, Australia

All authors declare that they have no competing interests.

Depression
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Adolescents
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Machine learning algorithms
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Children
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Mental health and psychiatry
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Machine learning
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Trees
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Forecasting
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