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Updated: Jun 29, 2026

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构建和验证用于预测宫内皮质新生病II级+的模型:通过机器学习进行横截面人口研究

Juan He1,2, Kang-Jia Chen1,3, Ya-Xing Fang1,2

  • 1Department of Gynecology, Maternal and Child Medical Center of Anhui Medical University, Hefei, Anhui, 230032, People's Republic of China.

International journal of women's health
|December 11, 2025
PubMed
概括

将人类乳头瘤病毒 (HPV) 测试与ThinPrep细胞学测试 (TCT) 和临床数据相结合,显著改善了II级或更高 (CINII+) 的宫内皮质瘤的预测. 这种综合方法可以提高早期宫癌查的准确性.

关键词:
这是一个HPVHPVHPV.这就是为什么TCT是TCT.宫病变是指宫病变的发生.人类乳头瘤病毒 人类乳头瘤病毒机器学习是机器学习.预测模型是一个预测模型.thinprep细胞学试验试验

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