Carregant...
Training a Convolutional Neural Network with Terminology Summarization Data Improves SNOMED CT Enrichment
As a step toward learning to automatically insert new concepts into a large biomedical ontology, we are studying the easier problem of automatically verifying that an IS-A link should exist between a new child concept and an existing parent concept. We are using a Convolutional Neural Network, a pow...
Guardat en:
| Publicat a: | AMIA Annu Symp Proc |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
American Medical Informatics Association
2020
|
| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7153126/ https://ncbi.nlm.nih.gov/pubmed/32308894 |
| Etiquetes: |
Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|