https://www.selleckchem.com/pr....oducts/epz011989.htm
In summary, our proposed framework improves the F1-score by 5.38 (on average) when compared with direct deployment. For example, using i2b2-2014 as the training dataset and i2b2-2006 as the test, the proposed framework increases the F1-score from 76.61 to 85.41 (+8.8). The method also increases the F1-score by 10.86 for mimic-radiology and mimic-discharge. Our work demonstrates an effective self-training framework to boost the domain adaptation performance for the de-identification task for electronic health records. Our work demonstr
Aimer
Commentaire
Partagez
