The use of data mining methods for dystocia detection in Polish Holstein-Friesian Black-and-White cattle

OBJECTIVE: The aim of this study was to verify the usefulness of artificial neural networks (ANN), multivariate adaptive regression splines (MARS), naïve Bayes classifier (NBC), general discriminant analysis (GDA), and logistic regression (LR) for dystocia detection in Polish Holstein-Friesian Black...

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Detalles Bibliográficos
Autores principales: Zaborski, Daniel, Proskura, Witold S., Grzesiak, Wilhelm
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST) 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6212759/
https://www.ncbi.nlm.nih.gov/pubmed/29642673
http://dx.doi.org/10.5713/ajas.17.0780

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6212759/
https://www.ncbi.nlm.nih.gov/pubmed/29642673
http://dx.doi.org/10.5713/ajas.17.0780

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