Machine learning for risk stratification of thyroid cancer patients: a 15-year cohort study.

Shiva BorzooeiGiovanni BrigantiMitra GolparianJerome R LechienAidin Tarokhian

Published in: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery (2023)

Machine learning models, including classical and neural networks, efficiently stratify the risk of recurrence in patients with well-differentiated thyroid cancer. This can aid in tailoring treatment intensity and determining appropriate follow-up intervals.

Keyphrases

machine learning
neural network
end stage renal disease
ejection fraction
newly diagnosed
artificial intelligence
big data
high intensity
smoking cessation