Identifying unreliable predictions in clinical risk models

The ability to identify patients who are likely to have an adverse outcome is an essential component of good clinical care. Therefore, predictive risk stratification models play an important role in clinical decision making. Determining whether a given predictive model is suitable for clinical use u...

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Detalles Bibliográficos
Autores principales: Myers, Paul D., Ng, Kenney, Severson, Kristen, Kartoun, Uri, Dai, Wangzhi, Huang, Wei, Anderson, Frederick A., Stultz, Collin M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6978376/
https://www.ncbi.nlm.nih.gov/pubmed/31993506
http://dx.doi.org/10.1038/s41746-019-0209-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6978376/
https://www.ncbi.nlm.nih.gov/pubmed/31993506
http://dx.doi.org/10.1038/s41746-019-0209-7

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