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...

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Egile Nagusiak:	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
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Frontiers Media S.A. 2025-05-01
Saila:	Frontiers in Veterinary Science
Gaiak:	bioelectrical impedance machine learning gastrointestinal parasites Haemonchus contortus veterinary diagnostics
Sarrera elektronikoa:	https://www.frontiersin.org/articles/10.3389/fvets.2025.1584828/full
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