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Machine Learning Techniques for Canine Myxomatous Mitral Valve Disease Classification: Integrating A...

Machine Learning Techniques for Canine Myxomatous Mitral Valve Disease Classification: Integrating A...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ce129f0ddcab4a9181971de0c7a47cce

Machine Learning Techniques for Canine Myxomatous Mitral Valve Disease Classification: Integrating Anamnesis, Quality of Life Survey, and Physical Examination

About this item

Full title

Machine Learning Techniques for Canine Myxomatous Mitral Valve Disease Classification: Integrating Anamnesis, Quality of Life Survey, and Physical Examination

Publisher

Switzerland: MDPI AG

Journal title

Veterinary sciences, 2024-03, Vol.11 (3), p.118

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Myxomatous mitral valve disease (MMVD) is a prevalent canine cardiac disease typically diagnosed and classified using echocardiography. However, accessibility to this technique can be limited in first-opinion clinics. This study aimed to determine if machine learning techniques can classify MMVD according to the ACVIM classification (B1, B2, C, and...

Alternative Titles

Full title

Machine Learning Techniques for Canine Myxomatous Mitral Valve Disease Classification: Integrating Anamnesis, Quality of Life Survey, and Physical Examination

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ce129f0ddcab4a9181971de0c7a47cce

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ce129f0ddcab4a9181971de0c7a47cce

Other Identifiers

ISSN

2306-7381

E-ISSN

2306-7381

DOI

10.3390/vetsci11030118

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