Comparison of Machine Learning Tree-Based Algorithms to Predict Future Paratuberculosis ELISA Results Using Repeat Milk Tests

Comparison of Machine Learning Tree-Based Algorithms to Predict Future Paratuberculosis ELISA Results Using Repeat Milk Tests

Machine learning algorithms have been applied to various animal husbandry and veterinary-related problems; however, its use in Johne’s disease diagnosis and control is still in its infancy. The following proof-of-concept study explores the application of tree-based (decision trees and random forest)...

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Bibliographic Details
Main Authors: Jamie Imada, Juan Carlos Arango-Sabogal, Cathy Bauman, Steven Roche, David Kelton
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Animals
Subjects:
paratuberculosis
Johne’s disease
disease control
machine learning
random forest
decision tree
Online Access:https://www.mdpi.com/2076-2615/14/7/1113

Internet

https://www.mdpi.com/2076-2615/14/7/1113

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