Measuring the effect of different types of unsupervised word representations on Medical Named Entity Recognition.
Background: This work deals with Natural Language Processing applied to the clinical domain. Specifically, the work deals with a Medical Entity Recognition (MER) on Electronic Health Records (EHRs). Developing a MER system entailed heavy data preprocessing and feature engineering until Deep Neural N...
| Publicado en: | International Journal of Medical Informatics Vol. 129; pp. 100 - 107 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Sep2019
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| Acceso en línea: | Ver este registro en EBSCOhost |