Develops a MIP framework for joint optimization of scoring weights and risk category thresholds in interpretable healthcare tools, handling censored labels and asymmetric costs via constraints and a continuous relaxation.
Regression models for ordinal data.Journal of the Royal Statistical Society: Series B (Methodological), 42(2):109–127, 1980
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Joint Score-Threshold Optimization for Interpretable Risk Assessment
Develops a MIP framework for joint optimization of scoring weights and risk category thresholds in interpretable healthcare tools, handling censored labels and asymmetric costs via constraints and a continuous relaxation.