A Comparative Analysis of Six Machine Learning Models Based on Ultrasound to Distinguish the Possibility of Central Cervical Lymph Node Metastasis in Patients With Papillary Thyroid Carcinoma

A Comparative Analysis of Six Machine Learning Models Based on Ultrasound to Distinguish the Possibility of Central Cervical Lymph Node Metastasis in Patients With Papillary Thyroid Carcinoma

Current approaches to predict central cervical lymph node metastasis (CLNM) in patients with papillary thyroid carcinoma (PTC) have failed to identify patients who would benefit from preventive treatment. Machine learning has offered the opportunity to improve accuracy by comparing the different alg...

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Bibliographic Details
Main Authors: Ying Zou, Yan Shi, Jihua Liu, Guanghe Cui, Zhi Yang, Meiling Liu, Fang Sun
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Oncology
Subjects:
machine learning
papillary thyroid carcinoma
lymphatic metastasis
ultrasound
random forest
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.656127/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.656127/full

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