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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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开发基于XGBoost和随机森林算法以及互联网搜索数据的COVID-19阳性测试的预测模型.

Yikun Chang1, Jinwei Chen1, Xiaoxuan Chen1

  • 1Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China.

BMC public health
|November 29, 2025
PubMed
概括

互联网搜索数据,特别是百度搜索索引 (BSI),可以预测COVID-19 (冠状病毒疾病2019) 爆发. 使用滞后BSI的XGBoost模型显示了早期流行病监测和预警的强有力的预测性能.

关键词:
百度搜索索引是百度的搜索索引.选择功能选择功能选择.机器学习是机器学习.时间滞后的相关性分析.

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