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AUTHOR(S): Hasan Keleş, Umit Yavuz Keleş
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TITLE Strategic Decision Support System Using Triple Logic for Hepatocellular Carcinoma in Cirrhosis |
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ABSTRACT This study proposes a novel mathematical model and decision support system based on Keleş’s B3 three-valued logic framework (-1, 0, 1), which moves beyond the traditional binary (yes/no) decision-making paradigm in hepatocellular carcinoma (HCC) screening. Using retrospective data derived from a cirrhotic cohort (N = 641), the relationship between patient characteristics (age, etiology, laboratory) and screening outcomes (early/late-stage HCC) was quantified using the developed Logical Risk Index (LRI). The system dynamically classifies each patient into three distinct follow-up categories by positioning them in the B3 vector space: (1) High-Priority Screening, (2) Routine Screening, (3) Observation. Performance analysis via Monte Carlo simulation demonstrated that the proposed model increased the early-stage HCC detection rate from 28.8% to 41.2% (p < 0.001) compared to the conventional uniform screening approach, while simultaneously reducing the total screening burden by 19.3%. Mathematically, the system is modeled using hyperplanes that define patient clusters in the three-dimensional B3 space. Dynamic decision boundaries can adapt according to the patient’s clinical course over time. The results demonstrate the superiority of B3 logic in managing clinical uncertainties and prove the clinical feasibility of a personalized, evidence-based decision algorithm that optimizes resource utilization in HCC surveillance. |
KEYWORDS Hepatocellular Carcinoma, Three-Valued Logic, B3 Framework, Decision Support System, Personalized Medicine, Mathematical Modeling |
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Cite this paper Hasan Keleş, Umit Yavuz Keleş. (2026) Strategic Decision Support System Using Triple Logic for Hepatocellular Carcinoma in Cirrhosis. International Journal of Oncology and Cancer Therapy, 6, 1-12 |
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