Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine

Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine

IntroductionThe COVID-19 pandemic has exacerbated mental health challenges, particularly depression among college students. Detecting at-risk students early is crucial but remains challenging, particularly in developing countries. Utilizing data-driven predictive models presents a viable solution to...

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Bibliographic Details
Main Authors: Lorena Cecilia López Steinmetz, Margarita Sison, Rustam Zhumagambetov, Juan Carlos Godoy, Stefan Haufe
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Psychiatry
Subjects:
depression prediction
COVID-19 pandemic
machine learning
classification
regression
college students
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1376784/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1376784/full

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