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

Volume: 13, Pages: 175628482093459 - 175628482093459
Published: Jan 1, 2020
Abstract
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.Publications indexed in PubMed under the Medical Subject Headings (MeSH) term 'Rectal Neoplasms' from 1994 to 2018 were downloaded in September 2019. R and Python were used to extract publication date, MeSH terms and abstract from the metadata of each publication for bibliometric assessment....
Paper Details
Title
A bibliometric analysis of 23,492 publications on rectal cancer by machine learning: basic medical research is needed
Published Date
Jan 1, 2020
Volume
13
Pages
175628482093459 - 175628482093459
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