Global Trends in Cancer Nanotechnology: A Qualitative Scientific Mapping Using Content-Based and Bibliometric Features for Machine Learning Text Classification

Global Trends in Cancer Nanotechnology: A Qualitative Scientific Mapping Using Content-Based and Bibliometric Features for Machine Learning Text Classification

This study presents a new way to investigate comprehensive trends in cancer nanotechnology research in different countries, institutions, and journals providing critical insights to prevention, diagnosis, and therapy. This paper applied the qualitative method of bibliometric analysis on cancer nanot...

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Bibliographic Details
Main Authors: Nuwan Indika Millagaha Gedara, Xuan Xu, Robert DeLong, Santosh Aryal, Majid Jaberi-Douraki
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Cancers
Subjects:
cancer
nanotechnology
nanomaterials
bibliometric measures
machine learning models
visualizing networks
Online Access:https://www.mdpi.com/2072-6694/13/17/4417

Internet

https://www.mdpi.com/2072-6694/13/17/4417

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