Cargando…
External validation of existing dementia prediction models on observational health data
BACKGROUND: Many dementia prediction models have been developed, but only few have been externally validated, which hinders clinical uptake and may pose a risk if models are applied to actual patients regardless. Externally validating an existing prediction model is a difficult task, where we mostly...
Autores principales: | John, Luis H., Kors, Jan A., Fridgeirsson, Egill A., Reps, Jenna M., Rijnbeek, Peter R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720950/ https://www.ncbi.nlm.nih.gov/pubmed/36471238 http://dx.doi.org/10.1186/s12874-022-01793-5 |
Ejemplares similares
-
The added value of text from Dutch general practitioner notes in predictive modeling
por: Seinen, Tom M, et al.
Publicado: (2023) -
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
por: Williams, Ross D., et al.
Publicado: (2022) -
Identifying the DEAD: Development and Validation of a Patient-Level Model to Predict Death Status in Population-Level Claims Data
por: Reps, Jenna M., et al.
Publicado: (2019) -
Investigating the impact of development and internal validation design when training prognostic models using a retrospective cohort in big US observational healthcare data
por: Reps, Jenna M, et al.
Publicado: (2021) -
Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data
por: Reps, Jenna M, et al.
Publicado: (2018)