Development, using supervised machine learning methods, of an optimized interpretation grid for a commercial milk test designed for detection of pregnancy in dairy cows between 23 and 90 days since breeding.

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Description:
This dataverse contains the R scripts used in a study aiming at developing and validating a novel interpretation grid for a milk ELISA test for detection of pregnancy in cows. It also contains additional materials.
Author(s):
Dufour, Simon

Dufour, Simon

Université de Montréal
0000-0001-6418-0424
Contributor(s):
Dufour, Simon
Source Repository:
Université de Montréal Dataverse
Series:
Simon Dufour – Dataverse
Publisher(s):
Borealis
Access:
Public
URL:
https://doi.org/10.5683/SP3/8LP7CF
Publication date:
2023-11-24
Subjects:
Medicine, Health and Life Sciences, Agricultural Sciences
Keywords:
Pregnancy, Cattle, Dairy, Machine learning, and Diagnostic
Identifier:
https://doi.org/10.5683/SP3/8LP7CF

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Citation

APA Citation:
Dufour, S. (2023). Development, using supervised machine learning methods, of an optimized interpretation grid for a commercial milk test designed for detection of pregnancy in dairy cows between 23 and 90 days since breeding. [Data set]. Université de Montréal Dataverse. https://doi.org/10.5683/SP3/8LP7CF
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