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Updated: Jan 11, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
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Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

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包装和增强组合模型的比较性能,用于预测多类不平衡数据的块性皮肤病

Hagar F Gouda1, Fatma D M Abdallah2

  • 1Animal Wealth Development Department (Biostatistics subdivision), Faculty of Veterinary Medicine, Zagazig University, Zagazig, 44511, Sharkia, Egypt. hagarfathy@zu.edu.eg.

Scientific reports
|November 10, 2025
PubMed
概括

整体机器学习模型有效地预测了牲畜中的块性皮肤病 (LSD). 随机森林随机过量采样实现了最高的准确性,突出显示了疫苗接种状况的重要性.

关键词:
包装包装包装包装包装包装组合学习学习 组合学习块性皮肤病是一种皮肤疾病.多类失衡是多类失衡.在SMOTE中使用.疫苗接种 疫苗接种

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