Machine Learning in Clinical Diagnosis of Head and Neck Cancer
Further studies should aim to collect larger samples of malignant and pre-malignant patients to improve the class imbalance and increase the performance of the machine learning models.
Authors
- Alexander D. G. Rogers (ORCID: https://orcid.org/0000-0003-4036-4119)
- Jenny Montgomery (ORCID: https://orcid.org/0000-0001-5000-4913)
- David Young (ORCID: https://orcid.org/0000-0002-3652-0513)
- H. E. Black (ORCID: https://orcid.org/0009-0002-5099-9302)
Institutions
- University of Strathclyde (GB)
- Queen Elizabeth University Hospital (GB)
Publication Details
- Journal
- Clinical Otolaryngology
- Published
- 2024-09-14
- DOI
- https://doi.org/10.1111/coa.14220
- Citations
- 1
- Primary Topic
- Head and Neck Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.58