Machine learning prediction of multiple anthelmintic resistance and gastrointestinal nematode control in sheep flocks
Abstract The high prevalence of Haemonchus contortus and its anthelmintic resistance have affected sheep production worldwide. Machine learning approaches are able to investigate the complex relationships among the factors involved in resistance. Classification trees were built to predict multidrug...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Colégio Brasileiro de Parasitologia Veterinaria
2024-03-01
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| Series: | Revista Brasileira de Parasitologia Veterinária |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-29612024000100310&lng=en&tlng=en |