Identifying medical terms in patient-authored text: a crowdsourcing-based approach.
Background and Objective: As people increasingly engage in online health-seeking behavior and contribute to health-oriented websites, the volume of medical text authored by patients and other medical novices grows rapidly. However, we lack an effective method for automatically identifying medical te...
| Publicado en: | Journal of the American Medical Informatics Association Vol. 20; no. 6; pp. 1120 - 1128 |
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| Autores principales: | , |
| Formato: | research Journal Article |
| Publicado: |
Oxford University Press / USA
Nov2013
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| Acceso en línea: | Ver este registro en EBSCOhost |