Fusing Ambient and Mobile Sensor Features Into a Behaviorome for Predicting Clinical Health Scores

Advances in machine learning and low-cost, ubiquitous sensors offer a practical method for understanding the predictive relationship between behavior and health. In this study, we analyze this relationship by building a behaviorome, or set of digital behavior markers, from a fusion of data collected...

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Detalles Bibliográficos
Autores principales: COOK, DIANE J., SCHMITTER-EDGECOMBE, MAUREEN
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132971/
https://www.ncbi.nlm.nih.gov/pubmed/34017671
http://dx.doi.org/10.1109/access.2021.3076362

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132971/
https://www.ncbi.nlm.nih.gov/pubmed/34017671
http://dx.doi.org/10.1109/access.2021.3076362

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