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Updated: Jan 17, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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通过基于物理的空间身份神经网络来增强流行病预测

Satoki Fujita1, Tatsuya Akutsu1

  • 1Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto, Japan.

PloS one
|September 15, 2025
PubMed
概括

预测传染病的传播通过新的物理信息空间身份 (PISID) 神经网络得到了改进. 这种混合模型将深度学习与流行病学动态相结合,以准确,可解释的区域病例预测.

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