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Harnessing repeated measurements of predictor variables for clinical risk prediction: a review of existing methods
BACKGROUND: Clinical prediction models (CPMs) predict the risk of health outcomes for individual patients. The majority of existing CPMs only harness cross-sectional patient information. Incorporating repeated measurements, such as those stored in electronic health records, into CPMs may provide an...
Autores principales: | Bull, Lucy M., Lunt, Mark, Martin, Glen P., Hyrich, Kimme, Sergeant, Jamie C. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7346415/ https://www.ncbi.nlm.nih.gov/pubmed/32671229 http://dx.doi.org/10.1186/s41512-020-00078-z |
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