Cargando…
Machine Learning Prediction of Foodborne Disease Pathogens: Algorithm Development and Validation Study
BACKGROUND: Foodborne diseases, as a type of disease with a high global incidence, place a heavy burden on public health and social economy. Foodborne pathogens, as the main factor of foodborne diseases, play an important role in the treatment and prevention of foodborne diseases; however, foodborne...
Autores principales: | Wang, Hanxue, Cui, Wenjuan, Guo, Yunchang, Du, Yi, Zhou, Yuanchun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7872834/ https://www.ncbi.nlm.nih.gov/pubmed/33496675 http://dx.doi.org/10.2196/24924 |
Ejemplares similares
-
Foodborne Disease Risk Prediction Using Multigraph Structural Long Short-term Memory Networks: Algorithm Design and Validation Study
por: Du, Yi, et al.
Publicado: (2021) -
High-Efficiency Machine Learning Method for Identifying Foodborne Disease Outbreaks and Confounding Factors
por: Zhang, Peng, et al.
Publicado: (2021) -
Electrochemical Biosensors for Detection of Foodborne Pathogens
por: Zhang, Zhenguo, et al.
Publicado: (2019) -
Predicting foodborne pathogens and probiotics taxa within poultry-related microbiomes using a machine learning approach
por: Ayoola, Moses B., et al.
Publicado: (2023) -
Foodborne pathogens
por: Bintsis, Thomas
Publicado: (2017)