Machine Learning in Clinical Diagnosis of Head and Neck Cancer.

Hollie Black David Young Alexander D G Rogers Jenny Montgomery

Published in: Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery (2024)

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.

Keyphrases

machine learning
end stage renal disease
ejection fraction
newly diagnosed
artificial intelligence
prognostic factors
case control
patient reported