Classification and prediction of Mycobacterium Avium subsp. Paratuberculosis (MAP) shedding severity in cattle based on young stock heifer faecal microbiota composition using random forest algorithms

Classification and prediction of Mycobacterium Avium subsp. Paratuberculosis (MAP) shedding severity in cattle based on young stock heifer faecal microbiota composition using random forest algorithms

Abstract Background Bovine paratuberculosis is a devastating infectious disease caused by Mycobacterium avium subsp. paratuberculosis (MAP). The development of the paratuberculosis in cattle can take up to a few years and vastly differs between individuals in severity of the clinical symptoms and sh...

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Bibliographic Details
Main Authors: Alexander Umanets, Annemieke Dinkla, Stephanie Vastenhouw, Lars Ravesloot, Ad P. Koets
Format: article
Language:EN
Published: BMC 2021
Subjects:
Mycobacterium avium subsp. paratuberculosis
Gut microbiota
Machine learning
Prediction
Pathogen shedding
Bovine
Veterinary medicine
SF600-1100
Microbiology
QR1-502
Online Access:https://doaj.org/article/4cb971ed0dfe4dbfb576f2e4691b642c
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https://doaj.org/article/4cb971ed0dfe4dbfb576f2e4691b642c

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