Using a Classifier Ensemble for Preventing Burnout in University Students: A Study Case in Valparaíso
Author:
Affiliation:
1. Computer Science Department, Universidad Técnica Federico Santa María, Valparaíso, Chile
2. Servicios y Soluciones de Calidad de Vida, Valparaíso, Chile
Funder
Project INNOVA REGION
Universidad Técnica Federico Santa María (UTFSM) Dirección General de Investigación, Innovación y Emprendimiento (DGIIE) Funding Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10287334.pdf?arnumber=10287334
Reference47 articles.
1. Machine learning approach for anxiety and sleep disorders analysis during COVID-19 lockdown
2. A Statistical Learning Approach to Evaluate Factors Associated With Post-Traumatic Stress Symptoms in Physicians: Insights From the COVID-19 Pandemic
3. An Empirical Overview of the No Free Lunch Theorem and Its Effect on Real-World Machine Learning Classification
4. Machine learning in mental health: a scoping review of methods and applications
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