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Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability?
Yang, Cynthia; Fridgeirsson, Egill A; Kors, Jan A; Reps, Jenna M; Rijnbeek, Peter R; Wong, Jenna; Williams, Ross D.
Afiliación
  • Yang C; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Fridgeirsson EA; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Kors JA; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Reps JM; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Rijnbeek PR; Observational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA.
  • Wong J; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Williams RD; Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA.
Stud Health Technol Inform ; 302: 129-130, 2023 May 18.
Article en En | MEDLINE | ID: mdl-37203625
ABSTRACT
We investigated a stacking ensemble method that combines multiple base learners within a database. The results on external validation across four large databases suggest a stacking ensemble could improve model transportability.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bases de Datos Factuales Tipo de estudio: Prognostic_studies Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bases de Datos Factuales Tipo de estudio: Prognostic_studies Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos