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Updated: May 7, 2025

Author Spotlight: Exploring the Role of Inflammation in the Co-occurrence of Primary Sjogren's Syndrome and Lung Adenocarcinoma
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Published on: September 20, 2024

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使用随机森林分类器预测原发性Sjogren综合征患者的自身免疫甲状腺炎:一个回顾性研究

Jia-Yun Wu1, Jing-Yu Zhang1, Wen-Qi Xia1

  • 1Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.

Arthritis research & therapy
|January 3, 2025
PubMed
概括

机器学习可以准确地预测原发性Sjogren综合征 (pSS) 患者的自身免疫甲状腺炎 (AIT). 随机森林模型确定了年龄,IgG,C4和口腔干燥作为甲状腺自身抗体的关键预测因素.

关键词:
自免疫性甲状腺炎的发生.机器学习算法 机器学习算法预测者 预测者主要的斯乔格伦综合征.

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