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Updated: Jun 30, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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改善基于特征选择和随机森林的台湾登革热预测

Chao-Yang Kuo1,2, Wei-Wen Yang2, Emily Chia-Yu Su3,4

  • 1Smart Healthcare Interdisciplinary College, National Taipei University of Nursing and Health Sciences, No.365, Mingde Road, Beitou District, Taipei City, 112303, Taiwan.

BMC infectious diseases
|March 21, 2024
PubMed
概括

这项研究使用机器学习开发了一种登革热预测模型,其中包括空气质量指数 (AQI) 和气象因素. 该模型显示,AQI对登革热的发生有负面影响,为爆发提供了潜在的早期预警系统.

关键词:
空气质量指数是指空气质量指数.登革热是一种登革热.功能选择 功能选择机器学习是机器学习.随机森林是随机的森林.

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