Development and Validation of a Three-Stage, Machine Learning-Based Model to Optimize the Pre-Operational Clinical Decision-Making for the Screening, Diagnosis, and Treatment of Follicular Thyroid Neoplasms-Reference-Cited by-同舟云学术

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Development and Validation of a Three-Stage, Machine Learning-Based Model to Optimize the Pre-Operational Clinical Decision-Making for the Screening, Diagnosis, and Treatment of Follicular Thyroid Neoplasms

Published:2024 Issue: Volume: Page:
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Author:

Li Xin,Shan Rui,Chen Jing,Chen Zheng,Cheng Yuan-Jia,Han Bo,Hu Run-Ze,Huang Jiu-Ping,Kong Guilan,Liu Hui,Mei Fang,Song Shi-Bing,Sun Bang-Kai,Tian Hui,Wang Yang,Xiao Wucai,Yao Xiang-Yun,Ye Jing-Ming,Yu Bo,Yuan Chunhui,Zhang Fan,Liu Zheng

Publisher

Elsevier BV

Reference36 articles.

1. Thyroid Cancer: A Review;L Boucai;Jama,2024

2. Follicular thyroid cancer and H�rthle cell carcinoma: challenges in diagnosis, treatment, and clinical management;G Grani;Lancet Diabetes Endocrinol,2018

3. Follicular adenoma and carcinoma of the thyroid gland;C R Mchenry;Oncologist,2011

4. American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer;B R Haugen;Thyroid,2015

5. European Thyroid Association Clinical Practice Guidelines for thyroid nodule management;C Durante;Eur Thyroid J. Oct 1,2023

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