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Predicting diabetes clinical outcomes using longitudinal risk factor trajectories
BACKGROUND: The ubiquity of electronic health records (EHR) offers an opportunity to observe trajectories of laboratory results and vital signs over long periods of time. This study assessed the value of risk factor trajectories available in the electronic health record to predict incident type 2 di...
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| Publicado no: | BMC Med Inform Decis Mak |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6950847/ https://ncbi.nlm.nih.gov/pubmed/31914992 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-019-1009-3 |
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