Mapping a nanomedical thematic network in breast cancer with a text mining approach

Today, use of nanotechnology in medical process is increasingly growing. One of the practical aspects of nanomedicine that has been considered is its use in breast cancer. Analysis of research in this field with text mining technique will help to draw its thematic network and discover the main thematic areas under study. In this article, we have tried to categorize nanomedical articles in breast cancer indexed in the PubMed database using the text analysis method by Vosviewer software. Based on the thematic network obtained from the analysis of the titles and abstracts of the studied documents, concepts such as paclitaxel, Patient, MCF, Poly, Imaging, and Toxicity are among the most widely used research topics in the field of nanomedicine in breast cancer internationally. The study of the thematic network at different time periods shows changes in the concepts related to this field. The concepts of mcf, poly, imaging, toxicity in ۲۰۱۹-۲۰۲۱ Paclituxel, and Patient in ۲۰۱۵-۲۰۱۸ were the most active subject areas. The textual analysis clearly showed that nanomedicine in breast cancer has become more of a treatment than a diagnosis, and in the near future researchers will focus on the basic goals of breast cancer treatment and ways to deal with.

Keywords:

Mapping , Text mining , Thematic network , Breast cancer