What question did this study set out to answer?

The research aims to develop predictive models for early detection of mental health issues among university students.

March 8, 2026Open Access

Predictive Analytics Models for Early Detection of Mental Health Issues Among University Students in Lagos, Nigeria: An Outreach and Impact Evaluation Study

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Authors

AOAbiodun OGUNLEYEUniversity of Science and Technology of Benin OIOlatunde IdowuUniversity of Science and Technology of Benin TATemitope V. AdekanyeLagos University Teaching Hospital

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Implication

Outreach and impact evaluation study reveals effective prediction of mental health issues in university students, suggesting improvements in support systems.

Key Points

The research aims to develop predictive models for early detection of mental health issues among university students.
Hybrid machine learning approach combining logistic regression and decision trees
Data collected from over 500 university students
Validated scales used to measure mental health indicators and demographics
Model estimation using regularization technique
Achieved an accuracy rate of 78% in identifying at-risk students
Confidence interval of ±3% for the accuracy rate
Highlights the potential of predictive analytics in enhancing mental health support

Cite This Study

OGUNLEYE et al. (2009) studied this question.

synapsesocial.com/papers/69ada8b2bc08abd80d5bbe94 https://doi.org/10.5281/zenodo.18897287

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Implication

Outreach and impact evaluation study reveals effective prediction of mental health issues in university students, suggesting improvements in support systems.

Predictive Analytics Models for Early Detection of Mental Health Issues Among University Students in Lagos, Nigeria: An Outreach and Impact Evaluation Study

Discussion

Member takes

Implication

Key Points

Cite This Study

Predictive Analytics Models for Early Detection of Mental Health Issues Among University Students in Lagos, Nigeria: An Outreach and Impact Evaluation Study

Discussion

Member takes

Implication

Key Points

Cite This Study

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