trinabh12/Pediatric-Appendicitis-Prediction-and-Diagnosis-using-Machine-Learning
An end-to-end MLOps and data engineering pipeline for predicting pediatric appendicitis. This project uses a multimodal fusion architecture (Tabular MLP + Image CNN) to combine clinical records, lab results, and ultrasound imaging, achieving an 80.59% Test AUC.
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Mar 16, 2026
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