Cargando…
Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation
BACKGROUND: To demonstrate how the Observational Healthcare Data Science and Informatics (OHDSI) collaborative network and standardization can be utilized to scale-up external validation of patient-level prediction models by enabling validation across a large number of heterogeneous observational he...
Autores principales: | Reps, Jenna M., Williams, Ross D., You, Seng Chan, Falconer, Thomas, Minty, Evan, Callahan, Alison, Ryan, Patrick B., Park, Rae Woong, Lim, Hong-Seok, Rijnbeek, Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7201646/ https://www.ncbi.nlm.nih.gov/pubmed/32375693 http://dx.doi.org/10.1186/s12874-020-00991-3 |
Ejemplares similares
-
External validation of existing dementia prediction models on observational health data
por: John, Luis H., 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) -
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) -
90-Day all-cause mortality can be predicted following a total knee replacement: an international, network study to develop and validate a prediction model
por: Williams, Ross D., et al.
Publicado: (2021) -
A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data
por: Khalid, Sara, et al.
Publicado: (2021)