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Updated: Jan 10, 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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机器学习与传统物流回归:巴基斯坦儿童营养结果的预测性表现和风险因素识别

Muhammad Shahid1, Muhammad Ali Yahya2, Jiayi Song3

  • 1College of Management, Shenzhen University, Shenzhen, Guangdong, P. R. China. Muhammadshahid.15.pk@gmail.com.

BMC public health
|November 25, 2025
PubMed
概括

与SHAP分析的机器学习增强后勤回归 (ML-LR) 与传统方法相比,为儿童营养不良风险因素提供了更好的预测和解释能力. 这种方法揭示了对巴基斯坦公共卫生政策至关重要的复杂的,取决于背景的关系.

关键词:
儿童营养 儿童营养计量经济学 计量经济学后勤回归的逻辑回归机器学习 机器学习预测建模预测建模确定风险因素 确定风险因素在SHAP分析中,分析

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