Optimizing thyroid AUS nodules malignancy prediction: a comprehensive study of logistic regression and machine learning models

Optimizing thyroid AUS nodules malignancy prediction: a comprehensive study of logistic regression and machine learning models

BackgroundThe accurate diagnosis of thyroid nodules with indeterminate cytology, particularly in the atypia of undetermined significance (AUS) category, remains challenging. This study aims to predict the risk of malignancy in AUS nodules by comparing two machine learning (ML) and three conventional...

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Bibliographic Details
Main Authors: Yuan Cao, Yixian Yang, Yunchao Chen, Mengqi Luan, Yan Hu, Lu Zhang, Weiwei Zhan, Wei Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Endocrinology
Subjects:
thyroid nodules
risk of malignancy
atypia of undetermined significance (AUS)
machine learning (ML)
logistic regression
prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2024.1366687/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2024.1366687/full

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