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

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

Abstract 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...

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Bibliographic Details
Main Authors: Jenna Marie Reps, Ross D. Williams, Martijn J. Schuemie, Patrick B. Ryan, Peter R. Rijnbeek
Format: Article
Language:English
Published: BMC 2022-05-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Ensemble learning
Model transportability
Prognostic model
Observational data
Patient-level prediction
Online Access:https://doi.org/10.1186/s12911-022-01879-6

Internet

https://doi.org/10.1186/s12911-022-01879-6

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