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Updated: Sep 10, 2025

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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使用逻辑回归技术的宫癌感知风险因素行为

I M Elzein1,2, Achraf Chamseddine1,2, Ahmad Eltanboly3

  • 1Department of Electrical Engineering, College of Engineering and Technology, University of Doha for Science and Technology, Doha 24449, Qatar.

Journal of biomedical research
|August 25, 2025
PubMed
概括

本研究使用逻辑回归和行为风险因素的主要成分分析 (PCA) 预测宫癌发病率. 开发的模型达到97.2%的准确性,强调了早期预测的重要性.

关键词:
行为风险因素子宫癌特性工程后勤回归主要组件分析规范化工作

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