Fig. 1

EFDL Framework: The medical sensors’ stored data are first extracted. Then, the deep learning models are trained by adding fuzzy layers. To accurately merge the results across the trained models, the relevant data from the training phase is saved in a knowledge base with ensemble learning. The fusion data is used to determine whether a model is appropriate for a certain set of test data during the inference phase.