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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Vydané v:	Frontiers in oncology Ročník 12; s. 832385
Hlavní autori:	Wang, Kangtao, Herr, Ingrid
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland Frontiers Media S.A 28.03.2022
Predmet:	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
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