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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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PREDICTING CHRONIC KIDNEY DISEASE IN DOGS USING CLASSIFICATION AND REGRESSION TREE (CART) ANALYSIS: A MACHINE LEARNING APPROACH.

descriptionPublicationkeyboard_double_arrow_right Article 06 Feb 2026Publisher:Zenodo
Authors: M. Boopathy Raja1*, G. Kathiravan2, S. Bharath Jothi3, R. Jayanthi4 and Vijayachandra Reddy.S.5 1. Assistant Professor, Department of veterinary and Animal Husbandry Extension, Education, Veterinary College and Research Institute, Tirunelveli, Tamil Nadu – 627 358 * - Corresponding author, E.mail id: boobivet@gmail.com 2. Professor and Head, Department of Animal Husbandry Statistics and Computer Applications, Madras Veterinary College, Chennai 3. Dr. S. Bharath Jothi, Veterinary Surgeon, Gudalur, Ooty, Tamil Nadu 4. R. Jayanthi, Assistant Professor, Department of Livestock Products Technology, Veterinary College and Research Institute, Tirunelveli 5. Dr.Vijayachandra Reddy.S, Assistant Professor of Agricultural Economics, UAS, Raichur, Karnataka.;

doi: 10.5281/zenodo.18502619 , 10.5281/zenodo.18502618

PREDICTING CHRONIC KIDNEY DISEASE IN DOGS USING CLASSIFICATION AND REGRESSION TREE (CART) ANALYSIS: A MACHINE LEARNING APPROACH.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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