Identifying associations between pig pathologies using a multi-dimensional machine learning methodology.

ABSTRACT:

Background

Abattoir detected pathologies are of crucial importance to both pig production and food safety. Usually, more than one pathology coexist in a pig herd although it often remains unknown how these different pathologies interrelate to each other. Identification of the associations between different pathologies may facilitate an improved understanding of their underlying biological linkage, and support the veterinarians in encouraging control strategies aimed at reducing the prevalence of not just one, but two or more conditions simultaneously.

Results

Multi-dimensional machine learning methodology was used to identify associations between ten typical pathologies in 6485 batches of slaughtered finishing pigs, assisting the comprehension of their biological association

SUBMITTER: Sanchez-Vazquez MJ 

PROVIDER: S-EPMC3483212 | biostudies-literature | 2012 Aug

REPOSITORIES: biostudies-literature