Machine-Learning-Based Bibliometric Analysis of Pancreatic Cancer Research Over the Past 25 Years

Machine learning and semantic analysis are computer-based methods to evaluate complex relationships and predict future perspectives. We used these technologies to define recent, current and future topics in pancreatic cancer research. Publications indexed under the Medical Subject Headings (MeSH) te...

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Bibliographic Details

Published in:	Frontiers in oncology Vol. 12; p. 832385
Main Authors:	Wang, Kangtao, Herr, Ingrid
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media S.A 28.03.2022
Subjects:	bibliometric (R-package) latent Dirichlet allocation (LDA) algorithm machine learning natural language processing (NLP) Oncology pancreatic ductal adenocarcinoma Python (programming language) bibliometric (R-package) Python (programming language) latent Dirichlet allocation (LDA) algorithm natural language processing (NLP) machine learning pancreatic ductal adenocarcinoma
ISSN:	2234-943X, 2234-943X
Online Access:	Get full text
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