Evaluating the efficacy of bioelectrical impedance analysis using machine learning models for the classification of goats exposed to Haemonchosis

Evaluating the efficacy of bioelectrical impedance analysis using machine learning models for the classification of goats exposed to Haemonchosis

Rapid identification and assessment of animal health are critical for livestock productivity, especially for small ruminants like goats, which are highly susceptible to blood-feeding gastrointestinal nematodes, such as Haemonchus contortus. This study aimed at establishing proof of concept for using...

Full description

Saved in:
Bibliographic Details
Main Authors: Aftab Siddique, Phaneendra Batchu, Arshad Shaik, Priyanka Gurrapu, Tharun Tej Erukulla, Cornileus Ellington, Andrea L. Rubio Villa, Davia Brown, Ajit Mahapatra, Sudhanshu Panda, Eric Morgan, Jan Van Wyk, David Shapiro-Ilan, Govind Kannan, Thomas H. Terrill
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Veterinary Science
Subjects:
bioelectrical impedance
machine learning
gastrointestinal parasites
Haemonchus contortus
veterinary diagnostics
Online Access:https://www.frontiersin.org/articles/10.3389/fvets.2025.1584828/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fvets.2025.1584828/full

Similar Items