Fig. 8: Feature clouds for epilepsy constructed using MUGS and Skip-Gram embeddings at BCH. | npj Digital Medicine

Fig. 8: Feature clouds for epilepsy constructed using MUGS and Skip-Gram embeddings at BCH.

From: Multisource representation learning for pediatric knowledge extraction from electronic health records

Fig. 8

a The feature cloud derived from MUGS embeddings, while b displays the feature cloud from Skip-Gram embeddings. Codes selected by both methods are highlighted in purple. Codes exclusively selected by MUGS are shown in blue, and codes exclusively selected by Skip-Gram are in green. The size of each word is proportional to the cosine similarity between the corresponding code’s embedding and the epilepsy embedding, with larger words indicating higher similarity.

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