Prognostic Models Using Machine Learning Algorithms and Treatment Outcomes of Papillary Thyroid Carcinoma Variants

Prognostic Models Using Machine Learning Algorithms and Treatment Outcomes of Papillary Thyroid Carcinoma Variants

ABSTRACT Background Hürthle cell (HCC) and columnar cell variants (CCV) are rare subtypes of thyroid cancer. Aims This study used machine learning (ML) to evaluate treatment effectiveness and develop prognostic models. Methods Chi‐square tests, Kaplan–Meier curves, log‐rank tests, and Cox regression...

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Main Authors: Sakhr Alshwayyat, Haya Kamal, Owais Ghammaz, Tala Abdulsalam Alshwayyat, Mustafa Alshwayyat, Ramez M. Odat, Hamdah Hanifa, Wafa Asha, Nesreen A. Saadeh
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Cancer Reports
Subjects:
clinical decision‐making
machine learning
papillary thyroid cancer
prognosis
survival analysis
treatment outcome
Online Access:https://doi.org/10.1002/cnr2.70071
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https://doi.org/10.1002/cnr2.70071

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