Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine
LC López Steinmetz, M Sison… - Frontiers in …, 2024 - frontiersin.org
Introduction The COVID-19 pandemic has exacerbated mental health challenges,
particularly depression among college students. Detecting at-risk students early is crucial …
particularly depression among college students. Detecting at-risk students early is crucial …
[PDF][PDF] Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine
LCL Steinmetz, M Sison, R Zhumagambetov, JC Godoy… - 2024 - suicideinfo.ca
Aims: 1) To develop and compare machine learning (ML) models for predicting depression
in Argentinean students during the pandemic. 2) To assess the performance of classification …
in Argentinean students during the pandemic. 2) To assess the performance of classification …
Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine
LC López Steinmetz, M Sison, R Zhumagambetov… - 2024 - ri.conicet.gov.ar
Introduction: The COVID-19 pandemic has exacerbated mental health challenges,
particularly depression among college students. Detecting at-risk students early is crucial …
particularly depression among college students. Detecting at-risk students early is crucial …
Machine Learning Models Predict the Emergence of Depression in Argentinean College Students during Periods of COVID-19 Quarantine
LC Lopez Steinmetz, M Sison, R Zhumagambetov… - medRxiv, 2024 - medrxiv.org
INTRODUCTION: The COVID-19 pandemic has exacerbated mental health challenges,
particularly depression among college students. Detecting at-risk students early is crucial …
particularly depression among college students. Detecting at-risk students early is crucial …
[PDF][PDF] Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine
LCL Steinmetz, M Sison, R Zhumagambetov, JC Godoy… - 2024 - scienceopen.com
Aims: 1) To develop and compare machine learning (ML) models for predicting depression
in Argentinean students during the pandemic. 2) To assess the performance of classification …
in Argentinean students during the pandemic. 2) To assess the performance of classification …
[PDF][PDF] Machine Learning Models Predict the Emergence of Depression in Argentinean College Students during Periods of COVID-19 Quarantine
C Godoy, S Haufe - researchgate.net
ABSTRACT INTRODUCTION: The COVID-19 pandemic has exacerbated mental health
challenges, particularly depression among college students. Detecting at-risk students early …
challenges, particularly depression among college students. Detecting at-risk students early …
Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine
LCL Steinmetz, M Sison… - Frontiers in …, 2024 - pubmed.ncbi.nlm.nih.gov
Introduction The COVID-19 pandemic has exacerbated mental health challenges,
particularly depression among college students. Detecting at-risk students early is crucial …
particularly depression among college students. Detecting at-risk students early is crucial …
Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine.
LS LC, M Sison, R Zhumagambetov, JC Godoy… - Frontiers in …, 2024 - europepmc.org
Aims 1) To develop and compare machine learning (ML) models for predicting depression in
Argentinean students during the pandemic. 2) To assess the performance of classification …
Argentinean students during the pandemic. 2) To assess the performance of classification …
[HTML][HTML] Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine
LCL Steinmetz, M Sison, R Zhumagambetov… - Frontiers in …, 2024 - ncbi.nlm.nih.gov
Aims 1) To develop and compare machine learning (ML) models for predicting depression in
Argentinean students during the pandemic. 2) To assess the performance of classification …
Argentinean students during the pandemic. 2) To assess the performance of classification …
[PDF][PDF] Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine
LCL Steinmetz, M Sison, R Zhumagambetov, JC Godoy… - 2024 - depositonce.tu-berlin.de
Aims: 1) To develop and compare machine learning (ML) models for predicting depression
in Argentinean students during the pandemic. 2) To assess the performance of classification …
in Argentinean students during the pandemic. 2) To assess the performance of classification …