Figure 2

Multimodal deep neural network architecture. The model utilizes two types of input data: tabular and time-series data. These data are analyzed by multilayer perceptron (MLP) blocks, and the outputs of these MLP blocks are concatenated into a feature vector to predict the need for intubation.