On optimal biomarker cutoffs accounting for misclassification costs in diagnostic trilemmas with applications to pancreatic cancer
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DOI: 10.1002/sim.9432
Abstract: Pancreatic ductal adenocarcinoma (PDAC) is the most deadly cancer and currently there is strong clinical interest in novel biomarkers that contribute to its early detection. Assessing appropriately the accuracy of such biomarkers is a crucial… read more here.
Keywords: optimal biomarker; biomarker cutoffs; cutoffs accounting; accounting misclassification ... See more keywords
Learning misclassification costs for imbalanced classification on gene expression data
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DOI: 10.1186/s12859-019-3255-x
Abstract: Cost-sensitive algorithm is an effective strategy to solve imbalanced classification problem. However, the misclassification costs are usually determined empirically based on user expertise, which leads to unstable performance of cost-sensitive classification. Therefore, an efficient and… read more here.
Keywords: classification; cost weights; cost; optimal cost ... See more keywords