Combining adult with pediatric patient data to develop a clinical decision support tool intended for children: leveraging machine learning to model heterogeneity

BACKGROUND: Clinical decision support (CDS) tools built using adult data do not typically perform well for children. We explored how best to leverage adult data to improve the performance of such tools. This study assesses whether it is better to build CDS tools for children using data from children...

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Detalles Bibliográficos
Autores principales: Sabharwal, Paul, Hurst, Jillian H., Tejwani, Rohit, Hobbs, Kevin T., Routh, Jonathan C., Goldstein, Benjamin A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8961261/
https://www.ncbi.nlm.nih.gov/pubmed/35351109
http://dx.doi.org/10.1186/s12911-022-01827-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8961261/
https://www.ncbi.nlm.nih.gov/pubmed/35351109
http://dx.doi.org/10.1186/s12911-022-01827-4

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