Multimodal Ensemble Approach to Incorporate Various Types of Clinical Notes for Predicting Readmission
TABLE II: Averages and 95% conf. intervals of c-stats of all five folds. Top most row represents the scores of the baseline with only structured features. Others are combinations of two multimodal ensembles with different vectorizations.
['[BOLD] Method', '[BOLD] Avg. c-stats', '[BOLD] 95% CI', '[BOLD] Delta']
This framework successfully integrates three types of clinical notes with structured dataset, improving 0.0211 compared to the structured only model. Moreover, 95% confidence interval of the proposed framework indicates that our framework consistently outperforms the baseline by more than 0.01 margin.