Collaborative machine learning-guided overall survival prediction of oral squamous cell carcinoma
cML appears to give reliability to the final prediction and thereby may mark a paradigm shift from model individualism to a more cooperative paradigm. This approach may aid in determining an enhanced individualized treatment for OSCC patients.
Authors
- Antti A. Mäkitie (ORCID: https://orcid.org/0000-0002-0451-2404)
- Ilmo Leivo (ORCID: https://orcid.org/0000-0002-9609-1597)
- Alhadi Almangush (ORCID: https://orcid.org/0000-0003-4106-314X)
- Mohammed Elmusrati (ORCID: https://orcid.org/0000-0001-9304-6590)
- Rasheed Omobolaji Alabi (ORCID: https://orcid.org/0000-0001-7655-5924)
Institutions
- Karolinska University Hospital (SE)
- University of Helsinki (FI)
- University of Turku (FI)
- Helsinki University Hospital (FI)
- Karolinska Institutet (SE)
- University of Vaasa (FI)
Publication Details
- Journal
- Acta Oto-Laryngologica
- Published
- 2024-12-31
- DOI
- https://doi.org/10.1080/00016489.2024.2437012
- Citations
- 4
- Primary Topic
- Head and Neck Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.32