Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models

BACKGROUND: The PubMed archive contains more than 34 million articles; consequently, it is becoming increasingly difficult for a biomedical researcher to keep up-to-date with different knowledge domains. Computationally efficient and interpretable tools are needed to help researchers find and unders...

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Detalles Bibliográficos
Autores principales: Millikin, Robert J., Raja, Kalpana, Steill, John, Lock, Cannon, Tu, Xuancheng, Ross, Ian, Tsoi, Lam C., Kuusisto, Finn, Ni, Zijian, Livny, Miron, Bockelman, Brian, Thomson, James, Stewart, Ron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619245/
https://www.ncbi.nlm.nih.gov/pubmed/37915001
http://dx.doi.org/10.1186/s12859-023-05539-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619245/
https://www.ncbi.nlm.nih.gov/pubmed/37915001
http://dx.doi.org/10.1186/s12859-023-05539-y

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