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becas | Biomedical concept recognition services and visualization


An API for biomedical concept identification and a web-based tool that addresses these limitations. MEDLINE abstracts or free text can be annotated directly in the web interface, where identified concepts are enriched with links to reference databases. Using its customizable widget, it can also be used to augment external web pages with concept highlighting features. Furthermore, all text-processing and annotation features are made available through an HTTP REST API, allowing integration in any text-processing pipeline.

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becas classification

becas specifications

Unique identifier:
Web user interface
Computer skills:
Biomedical Concept Annotation System
Restrictions to use:
Academic or non-commercial use

becas support


  • José Luís Oliveira <>


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DETI/IEETA, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal

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