Application of machine learning methods to guide patient management by predicting the risk of malignancy of Bethesda III-V thyroid nodules.
European journal of endocrinology(2023)
摘要
Our ML models performed well in predicting the nature of Bethesda III-V TN. In addition, our freely available online nomogram helped to refine the RM, identifying low-risk TN that may benefit from surveillance in up to a third of ITN, and thus may reduce the number of unnecessary surgeries.
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关键词
cytopathological features,machine learning,predictive model,risk of malignancy,thyroid cancer,thyroid nodules,ultrasonographic features
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