Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability?

Cynthia Yang; Egill A. Fridgeirsson; Jan A. Kors; Jenna M. Reps; Peter R. Rijnbeek; Jenna Wong; Ross D. Williams

doi:10.3233/SHTI230080

Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability?

Cynthia Yang^*, Egill A. Fridgeirsson, Jan A. Kors, Jenna M. Reps, Peter R. Rijnbeek, Jenna Wong, Ross D. Williams

^*Corresponding author for this work

Medical Informatics

Research output: Contribution to journal › Article › Academic › peer-review

2 Citations (Scopus)

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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.

Original language	English
Pages (from-to)	129-130
Number of pages	2
Journal	Studies in Health Technology and Informatics
Volume	302
DOIs	https://doi.org/10.3233/SHTI230080
Publication status	Published - 18 May 2023

Bibliographical note

Publisher Copyright:
© 2023 European Federation for Medical Informatics (EFMI) and IOS Press.

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10.3233/SHTI230080Licence: CC BY-NC

Does Using a Stacking Ensemble MethodFinal published version, 213 KBLicence: CC BY-NC

Cite this

@article{a221293729254ea4888f402764371a4e,

title = "Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability?",

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.",

author = "Cynthia Yang and Fridgeirsson, {Egill A.} and Kors, {Jan A.} and Reps, {Jenna M.} and Rijnbeek, {Peter R.} and Jenna Wong and Williams, {Ross D.}",

note = "Publisher Copyright: {\textcopyright} 2023 European Federation for Medical Informatics (EFMI) and IOS Press.",

year = "2023",

month = may,

day = "18",

doi = "10.3233/SHTI230080",

language = "English",

volume = "302",

pages = "129--130",

journal = "Studies in Health Technology and Informatics",