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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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| Publicado no: | Asian-Australas J Anim Sci |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST)
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6212759/ https://ncbi.nlm.nih.gov/pubmed/29642673 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5713/ajas.17.0780 |
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