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Leveraging Intensive Longitudinal Data to Better Understand Health Behaviors
Behavioral scientists have historically relied on static modeling methodologies. The rise in mobile and wearable sensors has made intensive longitudinal data (ILD)—behavioral data measured frequently over time—increasingly available. Consequently, analytical frameworks are emerging that seek to reli...
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| Publicado no: | Conf Proc IEEE Eng Med Biol Soc |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4431646/ https://ncbi.nlm.nih.gov/pubmed/25571579 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/EMBC.2014.6945211 |
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