13 results on '"Erdman, Lauren"'
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2. PD37-07 A MACHINE LEARNING TOOL TO DETERMINE OBSTRUCTION IN CHILDREN WITH HYDRONEPHROSIS FROM ROUTINE SONOGRAPHIC FINDINGS
3. Multi-institutional Validation of Improved Vesicoureteral Reflux Assessment With Simple and Machine Learning Approaches
4. Dynamic risk profiling of HCC recurrence after curative intent liver resection
5. MP17-05 CONFIGURATION AND VALIDATION OF THE TORONTO NOMOGRAM OF ANTENATAL ULTRASOUND INDEX GENERATED FROM BAYESIAN META-REGRESSION ANALYSIS IN PREDICTING POSTERIOR URETHRAL VALVES (PUV)
6. Dynamic risk profiling of HCC recurrence after curative intent liver resection
7. The Toronto Postliver Transplantation Hepatocellular Carcinoma Recurrence Calculator: A Machine Learning Approach
8. A Pre-TACE Radiomics Model to Predict HCC Progression and Recurrence in Liver Transplantation: A Pilot Study on a Novel Biomarker
9. MP44-18 ACCURATE ESTIMATE OF SPLIT DIFFERENTIAL RENAL FUNCTION USING ULTRASOUND ALONE FOR INFANTS WITH HYDRONEPHROSIS
10. MP44-13 A SECOND-LOOK AT REPORTED STATISTICS: CHALLENGES IN REPLICATING REPORTED P-VALUES IN PEDIATRIC UROLOGY LITERATURE
11. MP44-04 DEEP LEARNING BASED ALGORITHM ASSESSMENT OF ULTRASOUND IMAGES PREDICTS THE DEVELOPMENT OF RENAL FAILURE IN CHILDREN WITH POSTERIOR URETHRAL VALVES
12. Accurate Classification of Pediatric Colonic Inflammatory Bowel Disease Subtype Using a Random Forest Machine Learning Classifier
13. MP71-09 COMPARISON OF FRAGILITY METRICS BETWEEN 2 COMMON PEDIATRIC UROLOGY BODIES OF LITERATURE
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