Fig. 4
From: Deep learning predicts hip fracture using confounding patient and healthcare variables
Deep learning a compendium of patient data by directly combining image features, PT, and HP variables in multimodal models, or by secondarily ensembling image-only model predictions with PT and HP variables. a experiment schematic demonstrating the CAD simulation scenario wherein a physician secondarily integrates image-only and other clinical data (as modeled in a Naive Bayes ensemble). b ROC and (c) precision recall curves for classifiers tested on differentially sampled test sets. The best operating point is indicated with crosshairs. d Summary of (b) with 95% bootstrap confidence intervals
