Development and Validation of a Protein Electrophoresis Classification Algorithm: Tabular Data-Based Alternative

蛋白质电泳分类算法的开发与验证:基于表格数据的替代方法

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Abstract

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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