Using Iterative Pairwise External Validation to Contextualize Prediction Model Performance: A Use Case Predicting 1-Year Heart Failure Risk in Patients with Diabetes Across Five Data Sources

INTRODUCTION: External validation of prediction models is increasingly being seen as a minimum requirement for acceptance in clinical practice. However, the lack of interoperability of healthcare databases has been the biggest barrier to this occurring on a large scale. Recent improvements in databa...

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Detalles Bibliográficos
Autores principales: Williams, Ross D., Reps, Jenna M., Kors, Jan A., Ryan, Patrick B., Steyerberg, Ewout, Verhamme, Katia M., Rijnbeek, Peter R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114056/
https://www.ncbi.nlm.nih.gov/pubmed/35579818
http://dx.doi.org/10.1007/s40264-022-01161-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114056/
https://www.ncbi.nlm.nih.gov/pubmed/35579818
http://dx.doi.org/10.1007/s40264-022-01161-8

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