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. 2021 Feb 18;25(5):1347–1357. doi: 10.1109/JBHI.2021.3060035

Fig. 2.

Fig. 2.

Overview of the proposed framework. Our network consists of an encoder that encodes the results of each item separately, an indefiniteness elimination module which transforms the encoded feature into fixed dimension, and a decoder predicts whether a patient is infected by the COVID-19. Inline graphic denotes the element-wise sum operation.