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Updated: Jan 8, 2026

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[关于肺癌风险预测模型的研究进展]

S J Wu1, H Ye1, C B Lin2

  • 1School of Public Health, Faculty of Medicine, Ningbo University, Ningbo 315211, China.

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
|December 22, 2025
PubMed
概括

肺癌风险预测模型对于早期检测和改善患者结果至关重要. 本综述探讨了用于肺癌查的传统和机器学习模型的进展.

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Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
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