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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...
Sparad:
| I publikationen: | Sci Rep |
|---|---|
| Huvudupphovsmän: | , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Nature Publishing Group UK
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6592927/ https://ncbi.nlm.nih.gov/pubmed/31239486 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-45679-x |
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