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Updated: Feb 19, 2026

High-throughput Detection Method for Influenza Virus
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FaXNet:一种频率适应,可解释和不确定性意识的网络,用于流感预测

Wei He1,2, Xuanfeng Li1,2, Xiaolin Liang3

  • 1Faculty of Innovation Engineering, Macau University of Science and Technology, Macao, Macao SAR, China.

Frontiers in public health
|February 18, 2026
PubMed
概括

通过FaXNet,一个新的深度学习框架,提高了在中国准确的流感预测. 该模型为公共卫生规划提供可靠,可解释的预测和不确定性估计.

关键词:
适应式里埃分解法 (AFD)长时间短期记忆 (LSTM)SHAP (夏普利添加式扩展) 是一种方法.可解释的人工智能 (XAI)频率适应型建模的频率适应型建模预测流感的预测

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