用异常检测方法对序列数据用于识别疾病爆发的应用进行评估

José Manuel Díaz-Cao1,2, Xin Liu3, Jeonghoon Kim3

  • 1Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California, Davis, USA. jmdchh@gmail.com.

Veterinary research
|September 8, 2023
PubMed
概括

使用序列数据检测异常有效地识别了猪生殖和呼吸系统综合征 (PRRS) 在动物生产中的新菌株. 长期短期记忆 (LSTM) 和贝叶斯方法在农场层面的早期疾病检测方面表现有前途.

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