RETRACTED: Prediction of Depression Severity and Personalised Risk Factors Using Machine Learning on Multimodal Data

Adefemi Ayodele; Adedotun Adetunla; Esther Akinlabi

doi:10.3991/ijoe.v20i09.47581

RETRACTED: Prediction of Depression Severity and Personalised Risk Factors Using Machine Learning on Multimodal Data

Authors

Adefemi Ayodele https://orcid.org/0009-0000-3661-3990
Adedotun Adetunla Afe Babalola University Ado Ekiti https://orcid.org/0000-0001-7183-107X
Esther Akinlabi https://orcid.org/0000-0002-9680-5510

DOI:

https://doi.org/10.3991/ijoe.v20i09.47581

Keywords:

Depression Severity, Machine Learning, Multimodal dataset, Artificial Intelligence, Linear Regression

Abstract

On March 14, 2025, this paper has been retracted by the journal due to an unclear situation of authorship. It is impossible for the journal editors to decide whether or not the authors had the right to publish this paper.

Downloads

Published

2024-06-20

How to Cite

Ayodele, A., Adetunla, A., & Akinlabi, E. (2024). RETRACTED: Prediction of Depression Severity and Personalised Risk Factors Using Machine Learning on Multimodal Data. International Journal of Online and Biomedical Engineering (iJOE), 20(09), pp. 130–143. https://doi.org/10.3991/ijoe.v20i09.47581