Cargando…
Smartphone-Tracked Digital Markers of Momentary Subjective Stress in College Students: Idiographic Machine Learning Analysis
BACKGROUND: Stress is an important predictor of mental health problems such as burnout and depression. Acute stress is considered adaptive, whereas chronic stress is viewed as detrimental to well-being. To aid in the early detection of chronic stress, machine learning models are increasingly trained...
Autores principales: | Aalbers, George, Hendrickson, Andrew T, Vanden Abeele, Mariek MP, Keijsers, Loes |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10132040/ https://www.ncbi.nlm.nih.gov/pubmed/36951924 http://dx.doi.org/10.2196/37469 |
Ejemplares similares
-
Tracking Infant Development With a Smartphone: A Practical Guide to the Experience Sampling Method
por: van den Heuvel, Marion I., et al.
Publicado: (2021) -
Using Interpersonal Dimensions of Personality and Personality Pathology to Examine Momentary and Idiographic Patterns of Alliance Rupture
por: Luo, Xiaochen, et al.
Publicado: (2021) -
Corrigendum: Using interpersonal dimensions of personality and personality pathology to examine momentary and idiographic patterns of alliance rupture
por: Luo, Xiaochen, et al.
Publicado: (2022) -
Staying Informed and Bridging “Social Distance”: Smartphone News Use and Mobile Messaging Behaviors of Flemish Adults during the First Weeks of the COVID-19 Pandemic
por: Ohme, Jakob, et al.
Publicado: (2020) -
Does a 7-day restriction on the use of social media improve cognitive functioning and emotional well-being? Results from a randomized controlled trial
por: van Wezel, Marloes M.C., et al.
Publicado: (2021)