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Integrated Framework for the Optimal Determination of Diagnostic Cut-off Points through Empirical Interpolation, Logistic Modeling Optimized by Dual Annealing, and Combinatorial Optimization with ThresholdXpert: Application to Hepatocellular Carcinoma

2026-02-23

Abstract excerpt

<h4>Introduction</h4> The precise determination of diagnostic cut-off points is essential for the development of multimarker panels in oncology. In previous work on pulmonary nodules, it was observed that the standard two-parameter logistic fit could be insufficient for biomarkers with asymmetric distributions. Furthermore, the calculation of empirical cut-off points based on graphical visualization presented lim...

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Literature Corpus work
507800e5-b2d6-5641-97f2-2584a6ebd448
DOI
10.64898/2026.02.19.26346674
Open publication

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Integrated Framework for the Optimal Determination of Diagnostic Cut-off Points through Empirical Interpolation, Logistic Modeling Optimized by Dual Annealing, and Combinatorial Optimization with ThresholdXpert: Application to Hepatocellular CarcinomaDOI 10.64898/2026.02.19.26346674
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