Stress among Portuguese Medical Students: the EuStress Solution

There has been an increasing attention to the study of stress. Particularly, college students often experience high levels of stress that are linked to several negative outcomes concerning academic functioning, physical, and mental health. In this paper, we introduce the EuStress Solution, that aims...

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Bibliographic Details
Published in:Journal of medical systems 2020-02, Vol.44 (2), p.45-45, Article 45
Main Authors: Silva, Eliana, Aguiar, Joyce, Reis, Luís Paulo, Sá, Jorge Oliveira e, Gonçalves, Joaquim, Carvalho, Victor
Format: Article
Language:English
Subjects:
Burnout
Colleges & universities
Health Informatics
Health Information Systems & Technologies
Health Sciences
Heart rate
Information systems
Learning algorithms
Machine learning
Measuring instruments
Medical students
Medicine
Medicine & Public Health
Mental disorders
Mental health
Mobile & Wireless Health
Neural networks
Statistical analysis
Statistical tests
Statistics for Life Sciences
Stress
Students
Wearable technology
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Summary:There has been an increasing attention to the study of stress. Particularly, college students often experience high levels of stress that are linked to several negative outcomes concerning academic functioning, physical, and mental health. In this paper, we introduce the EuStress Solution, that aims to create an Information System to monitor and assess, continuously and in real-time, the stress levels of the students in order to predict burnout. The Information System will use a measuring instrument based on wearable device and machine learning techniques to collect and process stress-related data from the students without their explicit interaction. In the present study, we focus on heart rate and heart rate variability indices, by comparing baseline and stress condition. We performed different statistical tests in order to develop a complex and intelligent model. Results showed the neural network had the better model fit.
ISSN:0148-5598
1573-689X
DOI:10.1007/s10916-019-1520-1