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Therefore, we propose using the FCM and Gauss membership methods to quantify the subjective degree words in the English-interpreted report of the MIMIC-III data set.
The overall structure of the proposed method is shown in Figure 1. It contains five parts: preprocessing, feature extraction, clustering, digitization, and visualization. All the calculation methods used in this experiment were implemented in Python.
First, the raw data are preprocessed.
JMIR Form Res 2022;6(11):e38677
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