A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data

BACKGROUND AND OBJECTIVE: As a response to the ongoing COVID-19 pandemic, several prediction models in the existing literature were rapidly developed, with the aim of providing evidence-based guidance. However, none of these COVID-19 prediction models have been found to be reliable. Models are commo...

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Detalles Bibliográficos
Autores principales: Khalid, Sara, Yang, Cynthia, Blacketer, Clair, Duarte-Salles, Talita, Fernández-Bertolín, Sergio, Kim, Chungsoo, Park, Rae Woong, Park, Jimyung, Schuemie, Martijn J., Sena, Anthony G., Suchard, Marc A., You, Seng Chan, Rijnbeek, Peter R., Reps, Jenna M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420135/
https://www.ncbi.nlm.nih.gov/pubmed/34560604
http://dx.doi.org/10.1016/j.cmpb.2021.106394

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420135/
https://www.ncbi.nlm.nih.gov/pubmed/34560604
http://dx.doi.org/10.1016/j.cmpb.2021.106394

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