A data-driven framework applies population-based bio-inspired algorithms to recalibrate and evolve a prostate cancer-specific comorbidities index, reporting up to 0.1 improvement in concordance index over the Charlson index.
A study on the dynamics and effectiveness of the deflate geometric semantic muta- tion.IEEE Transactions on Evolutionary Computation, page 1–1, 2025
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Developing a novel Comorbidities Index for predicting 10-year mortality in Prostate Cancer patients: A computational data-driven approach
A data-driven framework applies population-based bio-inspired algorithms to recalibrate and evolve a prostate cancer-specific comorbidities index, reporting up to 0.1 improvement in concordance index over the Charlson index.