Cluster-based text mining for extracting drug candidates for the prevention of COVID-19 from the biomedical literature

OBJECTIVE: The coronavirus disease 2019 (COVID-19) health crisis that began at the end of 2019 made researchers around the world quickly race to find effective solutions. Related literature exploded and it was inevitable that an automated approach was needed to find useful information, namely text m...

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Detalles Bibliográficos
Autores principales: Supianto, Ahmad Afif, Nurdiansyah, Rizky, Weng, Chia-Wei, Zilvan, Vicky, Yuwana, Raden Sandra, Arisal, Andria, Pardede, Hilman Ferdinandus, Lee, Min-Min, Huang, Chien-Hung, Ng, Ka-Lok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taibah University 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810500/
https://www.ncbi.nlm.nih.gov/pubmed/36618881
http://dx.doi.org/10.1016/j.jtumed.2022.12.015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810500/
https://www.ncbi.nlm.nih.gov/pubmed/36618881
http://dx.doi.org/10.1016/j.jtumed.2022.12.015

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