A machine learning-based approach to predicting the malignant and metastasis of thyroid cancer.

Jianhua Gu,Rongli Xie,Yanna Zhao,Zhifeng Zhao,Dan Xu,Min Ding,Tingyu Lin,Wenjuan Xu, Zihuai Nie, Enjun Miao,Dan Tan,Sibo Zhu,Dongjie Shen,Jian Fei

Frontiers in oncology（2022）

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Abstract

It is feasible to use XGBoost algorithm, combined with preoperative laboratory test indexes and demographic characteristics to predict tumor progression and metastasis in patients with TC, and its performance is better than that of Only using TI-RADS. The web tools we developed can help physicians with less clinical experience to choose the appropriate clinical decision or secondary confirmation of diagnosis results.

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Key words

machine learning,metastasis,risk prediction,thyroid cancer,thyroid nodule

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