Construction of a machine learning-based model for stratified assessment of college students’ mental health and design of intervention pathways DOI Open Access
Jie Gao

Applied Mathematics and Nonlinear Sciences, Journal Year: 2025, Volume and Issue: 10(1)

Published: Jan. 1, 2025

Abstract This paper carries out more in-depth data mining and modeling as well application work on the mental health of college students, constructs a hierarchical assessment model students. The psychological collected from students is normalized balanced, construction characteristics completed using personal, family, school factors. Based Stacking framework, two-layer multi-learners fusion algorithm proposed, which integrates SVM, RF, XGBoost models to complete setup base meta-learners, different learners are trained by 5-fold cross-validation method. 5,762 were obtained through an online questionnaire carry analysis their assessments. number who detected have anxiety, human-computer relationship sensitivity depression state 1303, 946 850 respectively, accounting for 22.62%, 16.42% 14.76% total with severe anxiety symptoms can be up 1303 260. depressive states was 73.78% 18.08%, people strong depression. There 1274 displayed sensitive or highly in interpersonal relationships. To address problems higher education, targeted interventions carried terms campus ecological interactions, individual precision interventions, social practice services enhance students’ health.

Language: Английский

A Conceptual Model of Refugee Family Dynamics: A Study with Sri Lankan Tamils DOI Open Access
Miriam Kuttikat, Marianne B. Lund, David M. Chan

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2025, Volume and Issue: 22(2), P. 169 - 169

Published: Jan. 26, 2025

Sri Lankan Tamil refugees have endured over four decades of protracted displacement in southern India. This paper synthesizes findings from studies conducted between 2005 and 2018 among residing the Gummidipoondi Trichy refugee camps state Nadu, Framed by a Community Based Participatory Research, collaboration with Organization for Eelam Refugee Rehabilitation (OfERR) Advisory Board, these aimed to investigate challenges related migration stressors, mental health, family dynamics, resource utilization living The association Psychological Distress Migration Stress (PDMS) study examined stressors influencing psychological distress refugees. intergenerational Conflict Readiness (ICCR study) assessed community readiness repatriation conflict employing semi-structured qualitative interviews. Family Dynamics (FD) mixed-method investigated longitudinal associations utilization, health outcomes Parenting Processes Intervention Development (PPID) Study incorporated perspectives workers through exploratory research. Integrating findings, research developed (1) Conceptual Model (2) Framework Health Intervention. These models provide culturally sensitive framework future interventions improve well-being populations.

Language: Английский

Citations

0
Construction of a machine learning-based model for stratified assessment of college students’ mental health and design of intervention pathways DOI Open Access
Jie Gao

Applied Mathematics and Nonlinear Sciences, Journal Year: 2025, Volume and Issue: 10(1)

Published: Jan. 1, 2025

Abstract This paper carries out more in-depth data mining and modeling as well application work on the mental health of college students, constructs a hierarchical assessment model students. The psychological collected from students is normalized balanced, construction characteristics completed using personal, family, school factors. Based Stacking framework, two-layer multi-learners fusion algorithm proposed, which integrates SVM, RF, XGBoost models to complete setup base meta-learners, different learners are trained by 5-fold cross-validation method. 5,762 were obtained through an online questionnaire carry analysis their assessments. number who detected have anxiety, human-computer relationship sensitivity depression state 1303, 946 850 respectively, accounting for 22.62%, 16.42% 14.76% total with severe anxiety symptoms can be up 1303 260. depressive states was 73.78% 18.08%, people strong depression. There 1274 displayed sensitive or highly in interpersonal relationships. To address problems higher education, targeted interventions carried terms campus ecological interactions, individual precision interventions, social practice services enhance students’ health.

Language: Английский

Citations

0