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Arxiv
1d
69
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In-Training Multicalibrated Survival Analysis for Healthcare via Constrained Optimization
- Survival analysis in healthcare is crucial for modeling the relationship between an individual's characteristics and the time of an event like death.
- Existing survival models are often poorly calibrated for minority subpopulations, leading to potential errors in clinical decisions.
- The GRADUATE model proposed in the study tackles this by achieving multicalibration at the subpopulation level through constrained optimization.
- Empirical comparisons show GRADUATE's effectiveness in achieving calibration and discrimination balance compared to existing baselines.
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