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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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| Foilsithe in: | BMC Med Inform Decis Mak |
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| Main Authors: | , , , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
BioMed Central
2020
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| Ábhair: | |
| Rochtain Ar Líne: | 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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