Using Smartphone Sensor Paradata and Personalized Machine Learning Models to Infer Participants’ Well-being: Ecological Momentary Assessment

BACKGROUND: Sensors embedded in smartphones allow for the passive momentary quantification of people’s states in the context of their daily lives in real time. Such data could be useful for alleviating the burden of ecological momentary assessments and increasing utility in clinical assessments. Des...

Descripción completa

Detalles Bibliográficos
Autores principales: Hart, Alexander, Reis, Dorota, Prestele, Elisabeth, Jacobson, Nicholas C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100543/
https://www.ncbi.nlm.nih.gov/pubmed/35482397
http://dx.doi.org/10.2196/34015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100543/
https://www.ncbi.nlm.nih.gov/pubmed/35482397
http://dx.doi.org/10.2196/34015

Ejemplares similares