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...

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Detalles Bibliográficos
Autores principales: Bull, Lucy M., Lunt, Mark, Martin, Glen P., Hyrich, Kimme, Sergeant, Jamie C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Review
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

Internet

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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