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Yu-Mei Chang

University of London - Royal Veterinary College

SCHOLARLY PAPERS

4

DOWNLOADS

183

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

Effect of Turnout Rugs on the Behaviour of UK Horses Under Mild Autumn Conditions

Number of pages: 25 Posted: 04 Feb 2025
University of London - Royal Veterinary College, University of London - Royal Veterinary College, University of London - Royal Veterinary College and University of London - Royal Veterinary College
Downloads 69 (883,195)

Abstract:

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horse rug, horse blanket, discomfort, insect avoidance, thermal comfort

2.

Machine Learning Classification Methods Informing the Management of Bovine Tuberculosis Incidents in England

Number of pages: 40 Posted: 28 Feb 2022
affiliation not provided to SSRN, University of London - Royal Veterinary College, University of London - Royal Veterinary College, Animal and Plant Health Agency, Animal and Plant Health Agency, Animal and Plant Health Agency and affiliation not provided to SSRN
Downloads 62 (942,565)

Abstract:

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Bovine tuberculosis, Machine learning, Classification tree analysis, Incident management, England.

3.

Evaluation of the slope of inverse creatinine to define progressive chronic kidney disease in cats and associated risk factors

Number of pages: 37 Posted: 18 Nov 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, University of London - Royal Veterinary College and affiliation not provided to SSRN
Downloads 38 (1,209,354)

Abstract:

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fibroblast growth factor-23, stable, threshold, progression, reciprocal creatinine plot

4.

From Mapping to Prediction: A Systematic Review and Critical Appraisal of Methodological Approaches to Assessing Avian Influenza Incursion Risk in Domestic Poultry

Number of pages: 33 Posted: 22 May 2026
University of London - Royal Veterinary College, Animal and Plant Health Agency, Istituto Zooprofilattico Sperimentale delle Venezie, University of London - Royal Veterinary College and University of London - Royal Veterinary College
Downloads 14 (1,526,714)

Abstract:

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Avian influenza viruses, poultry, risk assessment, prediction, wild birds, mapping