Cargando…
Evaluation of the application of sequence data to the identification of outbreaks of disease using anomaly detection methods
Anomaly detection methods have a great potential to assist the detection of diseases in animal production systems. We used sequence data of Porcine Reproductive and Respiratory Syndrome (PRRS) to define the emergence of new strains at the farm level. We evaluated the performance of 24 anomaly detect...
Autores principales: | Díaz-Cao, José Manuel, Liu, Xin, Kim, Jeonghoon, Clavijo, Maria Jose, Martínez-López, Beatriz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492347/ https://www.ncbi.nlm.nih.gov/pubmed/37684632 http://dx.doi.org/10.1186/s13567-023-01197-3 |
Ejemplares similares
-
Anomaly Detection Based on Sensor Data in Petroleum Industry Applications
por: Martí, Luis, et al.
Publicado: (2015) -
Application of Bayesian Regression for the Identification of a Catchment Area for Cancer Cases in Dogs and Cats
por: Díaz Cao, José Manuel, et al.
Publicado: (2022) -
Anomaly Detection for Individual Sequences with Applications in Identifying Malicious Tools †
por: Siboni, Shachar, et al.
Publicado: (2020) -
A hybrid anomaly detection method for high dimensional data
por: Zhang, Xin, et al.
Publicado: (2023) -
Log Sequence Anomaly Detection Method Based on Contrastive Adversarial Training and Dual Feature Extraction
por: Wang, Qiaozheng, et al.
Publicado: (2021)