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Extraction and Quantification of Words Representing Degrees of Diseases: Combining the Fuzzy C-Means Method and Gaussian Membership

Extraction and Quantification of Words Representing Degrees of Diseases: Combining the Fuzzy C-Means Method and Gaussian Membership

For the fuzzification section, we used the Gaussian fuzzy function to transform the fuzzy words extracted from the medical text into numbers. The results in Figure 3 and Table 2 show that it is feasible to transform the features contained in the subjective words into digital features. The digitization of ambiguous words (symptomatology and degree words) can improve the use of medical texts, which is crucial for improving the accuracy and interpretability of medical diagnostic systems.

Feng Han, ZiHeng Zhang, Hongjian Zhang, Jun Nakaya, Kohsuke Kudo, Katsuhiko Ogasawara

JMIR Form Res 2022;6(11):e38677