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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2021
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Materias: | |
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 |
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