Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
Abstract Deep learning (DL)-based predictive models from electronic health records (EHRs) deliver impressive performance in many clinical tasks. Large training cohorts, however, are often required by these models to achieve high accuracy, hindering the adoption of DL-based models in scenarios with l...
Enregistré dans:
| Auteurs principaux: | , , , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/14d44497dee74dfdb722302b6ea95c47 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|