Comparison of a machine learning model with a conventional rule-based selective dry cow therapy algorithm for detection of intramammary infections.

Rowe SM, Zhang E, Godden SM, Vasquez AK, Nydam DV

Open source

DOI
10.3168/jds.2024-25418
Published
2025 Jan
Container
Journal of dairy science
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3168/jds.2024-25418,
  title = {Comparison of a machine learning model with a conventional rule-based selective dry cow therapy algorithm for detection of intramammary infections.},
  author = {Rowe SM and Zhang E and Godden SM and Vasquez AK and Nydam DV},
  year = {2025},
  journal = {Journal of dairy science},
  doi = {10.3168/jds.2024-25418},
  url = {https://doi.org/10.3168/jds.2024-25418}
}

RIS

TY  - JOUR
TI  - Comparison of a machine learning model with a conventional rule-based selective dry cow therapy algorithm for detection of intramammary infections.
AU  - Rowe SM
AU  - Zhang E
AU  - Godden SM
AU  - Vasquez AK
AU  - Nydam DV
PY  - 2025
JO  - Journal of dairy science
DO  - 10.3168/jds.2024-25418
UR  - https://doi.org/10.3168/jds.2024-25418
ER  - 

APA

SM, R., E, Z., SM, G., AK, V., & DV, N. (2025). Comparison of a machine learning model with a conventional rule-based selective dry cow therapy algorithm for detection of intramammary infections.. Journal of dairy science. https://doi.org/10.3168/jds.2024-25418

Source records