Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes.
We propose Segment Convolutional Neural Networks (Seg-CNNs) for classifying relations from clinical notes. Seg-CNNs use only word-embedding features without manual feature engineering. Unlike typical CNN models, relations between 2 concepts are identified by simultaneously learning separate represen...
| Publicado en: | Journal of the American Medical Informatics Association Vol. 25; no. 1; pp. 93 - 99 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Oxford University Press / USA
Jan2018
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| Acceso en línea: | Ver este registro en EBSCOhost |