Exploration of biomedical knowledge for recurrent glioblastoma using natural language processing deep learning models

BACKGROUND: Efficient exploration of knowledge for the treatment of recurrent glioblastoma (GBM) is critical for both clinicians and researchers. However, due to the large number of clinical trials and published articles, searching for this knowledge is very labor-intensive. In the current study, us...

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Detalles Bibliográficos
Autores principales: Jang, Bum-Sup, Park, Andrew J., Kim, In Ah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9559267/
https://www.ncbi.nlm.nih.gov/pubmed/36229835
http://dx.doi.org/10.1186/s12911-022-02003-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9559267/
https://www.ncbi.nlm.nih.gov/pubmed/36229835
http://dx.doi.org/10.1186/s12911-022-02003-4

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