Development and validation of a machine learning model predicting post-tonsillectomy hemorrhage

Anker Stubberud, Sverre Morten Zahl, Tor Åge Myklebust, Vegard Bugten

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DOI: 10.1007/s00405-026-10344-3
Published: 2026-06-01
Container: European Archives of Oto-Rhino-Laryngology
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s00405-026-10344-3,
  title = {Development and validation of a machine learning model predicting post-tonsillectomy hemorrhage},
  author = {Anker Stubberud and Sverre Morten Zahl and Tor Åge Myklebust and Vegard Bugten},
  year = {2026},
  journal = {European Archives of Oto-Rhino-Laryngology},
  doi = {10.1007/s00405-026-10344-3},
  url = {https://doi.org/10.1007/s00405-026-10344-3}
}

RIS

TY  - JOUR
TI  - Development and validation of a machine learning model predicting post-tonsillectomy hemorrhage
AU  - Anker Stubberud
AU  - Sverre Morten Zahl
AU  - Tor Åge Myklebust
AU  - Vegard Bugten
PY  - 2026
JO  - European Archives of Oto-Rhino-Laryngology
DO  - 10.1007/s00405-026-10344-3
UR  - https://doi.org/10.1007/s00405-026-10344-3
ER  -

APA

Stubberud, A., Zahl, S. M., Myklebust, T. Å., & Bugten, V. (2026). Development and validation of a machine learning model predicting post-tonsillectomy hemorrhage. European Archives of Oto-Rhino-Laryngology. https://doi.org/10.1007/s00405-026-10344-3

Source records

crossref · retrieved 2026-09-26T09:37:46.795Z