QDSP: An Interpretable Structured Learning Framework for Predicting Death or Cerebral Palsy in Very Low Birth Weight Infants

In three linesQDSP is a structured learning framework to predict mortality or cerebral palsy in very low birth weight infants. On a cohort of 51 patients, it achieves 92% accuracy and 0.9714 AUC, outperforming XGBoost, TabNet, and TabPFN. Interpretability via SHAP identifies clinically relevant predictors including cystic periventricular leukomalacia.

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