Predicting autoimmune thyroiditis in primary Sjogren’s syndrome patients using a random forest classifier: a retrospective study

Predicting autoimmune thyroiditis in primary Sjogren’s syndrome patients using a random forest classifier: a retrospective study

Abstract Background Primary Sjogren’s syndrome (pSS) and autoimmune thyroiditis (AIT) share overlapping genetic and immunological profiles. This retrospective study evaluates the efficacy of machine learning algorithms, with a focus on the Random Forest Classifier, to predict the presence of thyroid...

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Main Authors: Jia-yun Wu, Jing-yu Zhang, Wen-qi Xia, Yue-ning Kang, Ru-yi Liao, Yu-ling Chen, Xiao-min Li, Ya Wen, Fan-xuan Meng, Li-ling Xu, Sheng-hui Wen, Hui-fen Liu, Yuan-qing Li, Jie-ruo Gu, Qing Lv, Yong Ren
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Arthritis Research & Therapy
Subjects:
Primary Sjogren’s syndrome
Autoimmune thyroiditis
Predictors
Machine learning algorithms
Online Access:https://doi.org/10.1186/s13075-024-03469-5
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https://doi.org/10.1186/s13075-024-03469-5

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