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. Author manuscript; available in PMC: 2023 Feb 1.
Published in final edited form as: IEEE Trans Knowl Data Eng. 2020 Apr 22;34(2):531–543. doi: 10.1109/tkde.2020.2989405

TABLE 13:

CHEER’s performance on MIMIC-III, PTBDB and EEG with (left-column) K features with highest mutual information (MI) to the class label as features of the poor dataset; and (right-column) K features with lowest mutual information to the class label as features of the poor dataset. K is set to 2 for MIMIC-III, 5 for PTBDB and 7 for EEG.

Dataset Highest MI Features Lowest MI Features
MIMIC-III 0.672 ± 0.044 0.657 ± 0.012
PTBDB 0.646 ± 0.133 0.639 ± 0.115
EEG 0.815 ± 0.064 0.807 ± 0.042