Research graph
References from Explainable Machine Learning for Predicting Student Depression Risk. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1186/s12888-024-05506-8
10.1186/s12888-024-05506-8 · External reference
10.1186/s12888-024-06017-2
10.1186/s12888-024-06017-2 · External reference
10.1186/s12888-025-07069-8
10.1186/s12888-025-07069-8 · External reference
Prevalence of Mental Disorder Symptoms among University Students: An Umbrella Review
10.1016/j.neubiorev.2025.106244 · 2025 · External reference
Mental Health of University Students: A Cross-Sectional Study from Qatar
10.1038/s41598-025-20202-7 · 2025 · External reference
Advancing Mental Health Screening in Schools: Innovative, Field-tested Practices and Observed Trends during a 15-month Learning Collaborative
10.1002/pits.22670 · 2022 · External reference
A Qualitative Analysis of Participant Experiences with Universal School-Based Depression Screening
10.1016/j.pmedr.2022.102073 · 2023 · External reference
The Impact of Universal Mental Health Screening on Stigma in Primary Schools
10.1186/s13034-024-00854-5 · 2025 · External reference
10.3389/fpsyg.2025.1684274
10.3389/fpsyg.2025.1684274 · External reference
Association Between Socioeconomic Position and Depression, Anxiety and Eating Disorders in University Students: A Systematic Review
2024 · External reference
Machine Learning Predictive Models to Guide Prevention and Intervention Allocation for Anxiety and Depressive Disorders among College Students
10.1002/jcad.12543 · 2025 · External reference
Machine Learning, Deep Learning, and Data Preprocessing Techniques for Detecting, Predicting, and Monitoring Stress and Stress-Related Mental Disorders: Scoping Review
10.2196/53714 · 2024 · External reference
10.1186/s12889-025-21632-8
10.1186/s12889-025-21632-8 · External reference
10.3389/fpsyt.2025.1648585
10.3389/fpsyt.2025.1648585 · External reference
Predicting Student Depression Using Machine Learning
2025 · External reference
Unresolved reference
External reference
Smart Web Interface for Student Mental Health Prediction Using Machine Learning with Blockchain Technology
10.1016/j.neuri.2025.100236 · 2025 · External reference
10.1186/s12911-025-02903-1
10.1186/s12911-025-02903-1 · External reference
Explainable Machine Learning for Mental Health Prediction from Social Media Behavior: A Nested Cross-Validation Study with SHAP and LIME Interpretability
10.1007/s44192-026-00373-z · 2026 · External reference
Fairness and Bias Correction in Machine Learning for Depression Prediction across Four Study Populations
10.1038/s41598-024-58427-7 · 2024 · External reference
10.3390/app142411738
10.3390/app142411738 · External reference
Fairness for Machine Learning Software in Education: A Systematic Mapping Study
10.1016/j.jss.2024.112244 · 2025 · External reference
Digital Phenotyping for Detecting Depression Severity in a Large Payor-Provider System: Retrospective Study of Speech and Language Model Performance
10.2196/69149 · 2025 · External reference
10.1145/3630106.3658990
10.1145/3630106.3658990 · External reference
10.3390/electronics13214157
10.3390/electronics13214157 · External reference
An Investigation of the Imputation Techniques for Missing Values in Ordinal Data Enhancing Clustering and Classification Analysis Validity
10.1016/j.dajour.2023.100341 · 2023 · External reference
The Impact of Family History of Mental Illness on Mental Health Help Seeking in University Students
10.1080/09638237.2024.2361235 · 2025 · External reference
On the Failings of Shapley Values for Explainability
10.1016/j.ijar.2023.109112 · 2024 · External reference
Explainable AI in Action: A Comparative Analysis of Hypertension Risk Factors Using SHAP and LIME
10.1007/s00521-024-10724-y · 2025 · External reference
Using Permutation-Based Feature Importance for Improved Machine Learning Model Performance at Reduced Costs
10.1109/access.2025.3544625 · 2025 · External reference
Evaluation of Clinical Prediction Models (Part 1): From Development to External Validation
10.1136/bmj-2023-074819 · 2024 · External reference
Machine Learning Predictive Models to Guide Prevention and Intervention Allocation for Anxiety and Depressive Disorders among College Students
10.1002/jcad.12543 · ExternalCitation · doi-reference
Advancing Mental Health Screening in Schools: Innovative, Field-tested Practices and Observed Trends during a 15-month Learning Collaborative
10.1002/pits.22670 · ExternalCitation · doi-reference
Explainable AI in Action: A Comparative Analysis of Hypertension Risk Factors Using SHAP and LIME
10.1007/s00521-024-10724-y · ExternalCitation · doi-reference
Explainable Machine Learning for Mental Health Prediction from Social Media Behavior: A Nested Cross-Validation Study with SHAP and LIME Interpretability
10.1007/s44192-026-00373-z · ExternalCitation · doi-reference
An Investigation of the Imputation Techniques for Missing Values in Ordinal Data Enhancing Clustering and Classification Analysis Validity
10.1016/j.dajour.2023.100341 · ExternalCitation · doi-reference
On the Failings of Shapley Values for Explainability
10.1016/j.ijar.2023.109112 · ExternalCitation · doi-reference
Fairness for Machine Learning Software in Education: A Systematic Mapping Study
10.1016/j.jss.2024.112244 · ExternalCitation · doi-reference
Prevalence of Mental Disorder Symptoms among University Students: An Umbrella Review
10.1016/j.neubiorev.2025.106244 · ExternalCitation · doi-reference
Smart Web Interface for Student Mental Health Prediction Using Machine Learning with Blockchain Technology
10.1016/j.neuri.2025.100236 · ExternalCitation · doi-reference
A Qualitative Analysis of Participant Experiences with Universal School-Based Depression Screening
10.1016/j.pmedr.2022.102073 · ExternalCitation · doi-reference
Fairness and Bias Correction in Machine Learning for Depression Prediction across Four Study Populations
10.1038/s41598-024-58427-7 · ExternalCitation · doi-reference
Mental Health of University Students: A Cross-Sectional Study from Qatar
10.1038/s41598-025-20202-7 · ExternalCitation · doi-reference
The Impact of Family History of Mental Illness on Mental Health Help Seeking in University Students
10.1080/09638237.2024.2361235 · ExternalCitation · doi-reference
Using Permutation-Based Feature Importance for Improved Machine Learning Model Performance at Reduced Costs
10.1109/access.2025.3544625 · ExternalCitation · doi-reference
Evaluation of Clinical Prediction Models (Part 1): From Development to External Validation
10.1136/bmj-2023-074819 · ExternalCitation · doi-reference
10.1145/3630106.3658990
10.1145/3630106.3658990 · ExternalCitation · doi-reference
10.1186/s12888-024-05506-8
10.1186/s12888-024-05506-8 · ExternalCitation · doi-reference
10.1186/s12888-024-06017-2
10.1186/s12888-024-06017-2 · ExternalCitation · doi-reference
10.1186/s12888-025-07069-8
10.1186/s12888-025-07069-8 · ExternalCitation · doi-reference
10.1186/s12889-025-21632-8
10.1186/s12889-025-21632-8 · ExternalCitation · doi-reference
10.1186/s12911-025-02903-1
10.1186/s12911-025-02903-1 · ExternalCitation · doi-reference
The Impact of Universal Mental Health Screening on Stigma in Primary Schools
10.1186/s13034-024-00854-5 · ExternalCitation · doi-reference
Machine Learning, Deep Learning, and Data Preprocessing Techniques for Detecting, Predicting, and Monitoring Stress and Stress-Related Mental Disorders: Scoping Review
10.2196/53714 · ExternalCitation · doi-reference
Digital Phenotyping for Detecting Depression Severity in a Large Payor-Provider System: Retrospective Study of Speech and Language Model Performance
10.2196/69149 · ExternalCitation · doi-reference
10.3389/fpsyg.2025.1684274
10.3389/fpsyg.2025.1684274 · ExternalCitation · doi-reference
10.3389/fpsyt.2025.1648585
10.3389/fpsyt.2025.1648585 · ExternalCitation · doi-reference
10.3390/app142411738
10.3390/app142411738 · ExternalCitation · doi-reference
10.3390/electronics13214157
10.3390/electronics13214157 · ExternalCitation · doi-reference
