Assessing the feasibility of applying machine learning to diagnosing non-effusive feline infectious peritonitis
Dawn Dunbar,
Simon A. Babayan,
Sarah Krumrie
et al.
Abstract:Feline infectious peritonitis (FIP) is a severe feline coronavirus-associated syndrome in cats, which is invariably fatal without anti-viral treatment. In the majority of non-effusive FIP cases encountered in practice, confirmatory diagnostic testing is not undertaken and reliance is given to the interpretation of valuable, but essentially non-specific, clinical signs and laboratory markers. We hypothesised that it may be feasible to develop a machine learning (ML) approach which may be applied to the analysis… Show more
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