A bibliometric analysis of 23,492 publications on rectal cancer by machine learning: basic medical research is needed

BACKGROUND AND AIMS: The aim of this study was to analyse the landscape of publications on rectal cancer (RC) over the past 25 years by machine learning and semantic analysis. METHODS: Publications indexed in PubMed under the Medical Subject Headings (MeSH) term ‘Rectal Neoplasms’ from 1994 to 2018...

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Detalles Bibliográficos
Autores principales: Wang, Kangtao, Feng, Chenzhe, Li, Ming, Pei, Qian, Li, Yuqiang, Zhu, Hong, Song, Xiangping, Pei, Haiping, Tan, Fengbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Advances and Future Perspectives in Colorectal Cancer
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385823/
https://www.ncbi.nlm.nih.gov/pubmed/32782478
http://dx.doi.org/10.1177/1756284820934594

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385823/
https://www.ncbi.nlm.nih.gov/pubmed/32782478
http://dx.doi.org/10.1177/1756284820934594

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