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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Veröffentlicht in:	Frontiers in oncology Jg. 12; S. 832385
Hauptverfasser:	Wang, Kangtao, Herr, Ingrid
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Media S.A 28.03.2022
Schlagworte:	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-Zugang:	Volltext
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