Chemical identification and indexing in PubMed full-text articles using deep learning and heuristics

The identification of chemicals in articles has attracted a large interest in the biomedical scientific community, given its importance in drug development research. Most of previous research have focused on PubMed abstracts, and further investigation using full-text documents is required because th...

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Detalles Bibliográficos
Autores principales: Almeida, Tiago, Antunes, Rui, F. Silva, João, Almeida, João R, Matos, Sérgio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248917/
https://www.ncbi.nlm.nih.gov/pubmed/35776534
http://dx.doi.org/10.1093/database/baac047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248917/
https://www.ncbi.nlm.nih.gov/pubmed/35776534
http://dx.doi.org/10.1093/database/baac047

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