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Development and Validation of a Protein Electrophoresis Classification Algorithm: Tabular Data-Based Alternative
Auriane Mazuir1,2, Gatien Ricotier1, Pierre Filhine-Tresarrieu1
1Laboratoire B2A, Brumath, France.
None:
Serum protein electrophoresis (SPE) is routinely interpreted through visual assessment of electropherogram images by medical laboratory scientists. We introduce an efficient tabular data-based machine learning approach that directly leverages numerical SPE profiles, offering a robust and interpretable alternative to image-based deep learning methods.
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