Gradient boosting on 146 longitudinal lab predictors from routine prenatal care achieves AUROC 0.872 on held-out test data for antepartum P-TMA risk prediction.
Cystatin C versus creatinine in determining risk based on kidney function[J]
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Interpretable Machine Learning for Antepartum Prediction of Pregnancy-Associated Thrombotic Microangiopathy Using Routine Longitudinal Laboratory Data
Gradient boosting on 146 longitudinal lab predictors from routine prenatal care achieves AUROC 0.872 on held-out test data for antepartum P-TMA risk prediction.