Automatic classification of IgA endomysial antibody test for celiac disease: a new method deploying machine learning

Widespread use of endomysial autoantibody (EmA) test in diagnostics of celiac disease is limited due to its subjectivity and its requirement of an expert evaluator. The study aimed to determine whether machine learning can be applied to create a new observer-independent method of automatic assessmen...

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Detalles Bibliográficos
Autores principales: Caetano dos Santos, Florentino Luciano, Michalek, Irmina Maria, Laurila, Kaija, Kaukinen, Katri, Hyttinen, Jari, Lindfors, Katri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6592927/
https://www.ncbi.nlm.nih.gov/pubmed/31239486
http://dx.doi.org/10.1038/s41598-019-45679-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6592927/
https://www.ncbi.nlm.nih.gov/pubmed/31239486
http://dx.doi.org/10.1038/s41598-019-45679-x

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