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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...
Autores principales: | Heintzman, Nathaniel, Kleinberg, Samantha |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2016
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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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