MetaMap Lite in Excel: Biomedical Named-Entity Recognition for Non-Technical Users

We developed an easy-to-use tool for non-technical biomedical researchers to conduct Named-Entity Recognition (NER) on biomedical text, in a familiar spreadsheet environment. The system is a simple, offline, easy to install, end-user front-end to the new MetaMap Lite. Early adopters found it to be a...

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Detalles Bibliográficos
Autores principales: Bhupatiraju, Ravi Teja, Fung, Kin Wah, Bodenreider, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5884681/
https://www.ncbi.nlm.nih.gov/pubmed/29295337
Descripción
Sumario:We developed an easy-to-use tool for non-technical biomedical researchers to conduct Named-Entity Recognition (NER) on biomedical text, in a familiar spreadsheet environment. The system is a simple, offline, easy to install, end-user front-end to the new MetaMap Lite. Early adopters found it to be a quick starting-point to incorporate NER in their investigations.

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