Treatment in locally advanced rectal cancer: a machine learning bibliometric analysis

A bibliometric analysis was performed using a machine learning bibliometric methodology in order to evaluate the research trends in locally advanced rectal cancer treatment between 2000 and 2020. Information regarding publication outputs, countries, institutions, journals, keywords, funding, and cit...

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Detalles Bibliográficos
Autores principales: De Felice, Francesca, Crocetti, Daniele, Petrucciani, Niccolò, Belgioia, Liliana, Sapienza, Paolo, Bulzonetti, Nadia, Marampon, Francesco, Musio, Daniela, Tombolini, Vincenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521411/
https://www.ncbi.nlm.nih.gov/pubmed/34671421
http://dx.doi.org/10.1177/17562848211042170

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521411/
https://www.ncbi.nlm.nih.gov/pubmed/34671421
http://dx.doi.org/10.1177/17562848211042170

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