Using Clinical Notes with Time Series Data for ICU Management
Table 1: Mean metrics for all three tasks. Standard deviations: IHM (AUCROC < 0.004, AUCPR < 0.015), Decompensation (AUCROC < 0.008, AUCPR < 0.008), and LOS (Kappa < 0.003).
['[BOLD] In-Hospital Mortality', '[BOLD] In-Hospital Mortality AUCROC', '[BOLD] In-Hospital Mortality AUCPR']
We compared the multimodal network with the baseline time series LSTM models for all three tasks. Our proposed multimodal network outperforms the time series models for all three tasks. For in-hospital mortality prediction, we see an improvement of around 7.8% over the baseline time series LSTM model. The other two problems were more challenging itself than the first task, and modeling the notes for the sequential task was difficult. With our multimodal network, we saw an improvement of around 6% and 3.5% for decompensation and LOS, respectively.