Learning patient-level prediction models across multiple healthcare databases: evaluation of ensembles for increasing model transportability

BACKGROUND: Prognostic models that are accurate could help aid medical decision making. Large observational databases often contain temporal medical data for large and diverse populations of patients. It may be possible to learn prognostic models using the large observational data. Often the perform...

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Detalles Bibliográficos
Autores principales: Reps, Jenna Marie, Williams, Ross D., Schuemie, Martijn J., Ryan, Patrick B., Rijnbeek, Peter R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9134686/
https://www.ncbi.nlm.nih.gov/pubmed/35614485
http://dx.doi.org/10.1186/s12911-022-01879-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9134686/
https://www.ncbi.nlm.nih.gov/pubmed/35614485
http://dx.doi.org/10.1186/s12911-022-01879-6

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