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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2021
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| Materias: | |
| 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 |