A comparison of machine learning and logistic regression in modelling the association of body condition score and submission rate-Reference-Cited by-同舟云学术

A comparison of machine learning and logistic regression in modelling the association of body condition score and submission rate

Published:2019-11 Issue: Volume:171 Page:104765
ISSN:0167-5877
Container-title:Preventive Veterinary Medicine
language:en
Short-container-title:Preventive Veterinary Medicine

Author:

Bates AJ,Saldias B

Publisher

Elsevier BV

Subject

Animal Science and Zoology,Food Animals

Reference47 articles.

1. Effects of management and health on the use of activity monitoring for estrus detection in dairy cows;Aungier;J. Dairy Sci.,2012

2. Probability distributions neural networks;Bishop,2006

3. Random forests;Breiman;Mach. Learn.,2001

4. Quantifying the Multilevel Effect of Risk Factors for Reproductive Performance in Seasonal-calving Pasture-based Dairy Farms in New Zealand;Brownlie,2017

5. Relationships among milk yield, body condition, cow weight, and reproduction in spring-calved Holstein-Friesians;Buckley;J. Dairy Sci.,2003

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid Deep Learning Approach for Enhanced Animal Breed Classification and Prediction;Traitement du Signal;2023-10-30

2. Metabolomic evolution of the postpartum dairy cow uterus;Molecular Reproduction and Development;2023-08-26

3. Non-linear change in body condition score over lifetime is associated with breed in dairy cows in Germany;Veterinary and Animal Science;2022-12

4. Exploring the predictive capability of machine learning models in identifying foot and mouth disease outbreak occurrences in cattle farms in an endemic setting of Thailand;Preventive Veterinary Medicine;2022-10

5. Machine learning-based farm risk management: A systematic mapping review;Computers and Electronics in Agriculture;2022-01