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. 2019 Dec 23;19(Suppl 7):274. doi: 10.1186/s12911-019-0981-y

Table 8.

Per-entity results for Swedish with word2vec from EHR texts using concatenated word and lemma embeddings

Feature Algorithm Entity Precision Recall F1-score
L,W word2vec Body part 83.07 94.36 88.36
Disorder 75.91 73.25 74.55
Finding 69.97 70.87 70.42
Avg. 74.64 77.49 76.04