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Updated: Jun 25, 2025

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在不同季节使用可解释机器学习来确定第二天花粉度的影响因素和值

Junhong Zhong1, Rongbo Xiao1, Peng Wang2

  • 1School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China; School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China.

The Science of the total environment
|May 23, 2024
PubMed
概括

通过机器学习,通过识别植物现象学和天气等关键因素,提高了对花粉过敏的预测. 这项研究揭示了这些因素的季节性值,提高了气溶花粉的预测准确性.

关键词:
过敏性花粉可以引起过敏.机器学习 (ML) 是指机器学习.沙普利的添加式扩展 (SHAP)合成光圈雷达 (SAR) 是一种不同的门值.

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