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.
Partial proportional odds models for ordinal response variables.Journal of the Royal Statistical Society: Series C (Applied Statistics), 39(2):205–217, 1990
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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.