Develops greedy optimization algorithms for directly learning optimal integer-weighted clinical risk scores, applied to predict post-discharge mortality in a large EHR cohort with a supporting simulation study.
arXiv preprint arXiv:2601.22324 , year=
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Learning Interpretable Point-Based Clinical Risk Scores via Direct Optimization
Develops greedy optimization algorithms for directly learning optimal integer-weighted clinical risk scores, applied to predict post-discharge mortality in a large EHR cohort with a supporting simulation study.