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Using uncertain data from body-worn sensors to gain insight into type 1 diabetes

The amount of observational data available for research is growing rapidly with the rise of electronic health records and patient-generated data. However, these data bring new challenges, as data collected outside controlled environments and generated for purposes other than research may be error-pr...

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Detalles Bibliográficos
Autores principales: Heintzman, Nathaniel, Kleinberg, Samantha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5077631/
https://www.ncbi.nlm.nih.gov/pubmed/27580935
http://dx.doi.org/10.1016/j.jbi.2016.08.022

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