Loss function influence on hyperparameter optimization for observational healthcare prediction models

Fleur Vereijken, Jenna M Reps, Peter Rijnbeek, Ross D Williams

Open source

DOI: 10.1093/jamia/ocag075
Published: 2026-05-14
Container: Journal of the American Medical Informatics Association
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/jamia/ocag075,
  title = {Loss function influence on hyperparameter optimization for observational healthcare prediction models},
  author = {Fleur Vereijken and Jenna M Reps and Peter Rijnbeek and Ross D Williams},
  year = {2026},
  journal = {Journal of the American Medical Informatics Association},
  doi = {10.1093/jamia/ocag075},
  url = {https://doi.org/10.1093/jamia/ocag075}
}

RIS

TY  - JOUR
TI  - Loss function influence on hyperparameter optimization for observational healthcare prediction models
AU  - Fleur Vereijken
AU  - Jenna M Reps
AU  - Peter Rijnbeek
AU  - Ross D Williams
PY  - 2026
JO  - Journal of the American Medical Informatics Association
DO  - 10.1093/jamia/ocag075
UR  - https://doi.org/10.1093/jamia/ocag075
ER  -

APA

Vereijken, F., Reps, J. M., Rijnbeek, P., & Williams, R. D. (2026). Loss function influence on hyperparameter optimization for observational healthcare prediction models. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocag075

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crossref · retrieved 2026-09-25T19:21:07.771Z