Identification of Latent Profiles and Determining Factors of Academic Stress in University Students: An Integrated Unsupervised–Supervised Machine Learning Approach

Academic stress is one of the main challenges affecting the psychological well-being of university students due to its impact on mental health, academic performance, and quality of life. The aim of this study was to analyze and model the factors associated with academic stress by integrating unsuper...

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Autores principales:	Miguel Angel Valles-Coral, Richard Injante, Lloy Pinedo, Juan Rafael Juárez Díaz, Wilson Torres-Delgado, Danny Lévano Rodríguez, Job Alberto Saavedra-Saavedra, Cecilia Edith García Rivas Plata, Roel Dante Gómez Apaza, María García-Paredes
Formato:	Artículo
Lenguaje:	inglés
Publicado:	2026
Materias:	academic stress university students latent profiles academic burnout sleep quality coping strategies psychological vulnerability perceived stress psychological well-being lassi PSS-10 Pittsburgh Sleep Quality Index LASSO elastic net random forest gradient boosting XGBoost CatBoost feature importance Student Stress and Coping Stress and Burnout Research Online Learning and Analytics
Acceso en línea:	Enlace permanente (DOI o Handle)
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Identification of Latent Profiles and Determining Factors of Academic Stress in University Students: An Integrated Unsupervised–Supervised Machine Learning Approach

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