Developing a framework for evidence-based grading and assessment of predictive tools for clinical decision support

BACKGROUND: Clinical predictive tools quantify contributions of relevant patient characteristics to derive likelihood of diseases or predict clinical outcomes. When selecting predictive tools for implementation at clinical practice or for recommendation in clinical guidelines, clinicians are challen...

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Detalles Bibliográficos
Autores principales: Khalifa, Mohamed, Magrabi, Farah, Gallego, Blanca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820933/
https://www.ncbi.nlm.nih.gov/pubmed/31664998
http://dx.doi.org/10.1186/s12911-019-0940-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820933/
https://www.ncbi.nlm.nih.gov/pubmed/31664998
http://dx.doi.org/10.1186/s12911-019-0940-7

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