Visualization of Tumor Treatment Methods Based on Clustering Algorithms

The purpose of the article is to analyze the research hotspots and trends in tumor treatments using clustering algorithms such as LSI, LLR, Mutual Information and Kleinberg’s algorithm. The related articles of CNKI are retrieved with “Tumor treatment methods” as the subject word and keyword for the period 2002–2022. The number of articles published in the field of tumor treatment methods is generally on the rise, and immunotherapy, targeted therapy and photothermal therapy has become a research hotspots and trends. Universities are the main collaborators, followed by research institutes and hospitals, cross-institutional collaboration needs to be strengthened. The main hot keywords are “oncotherapy” “immunotherapy” “targeted therapy”.The keyword clusters such as “tumor therapy” “tumor” and “apoptosis” were formed. There are 25 keywords involved in the emergence, with the highest intensity of emergence being immunotherapy, followed by apoptosis, review, etc. The main research in the future will focus on the innovation of tumor treatment methods and drugs to development of anti-tumor with better efficacy and fewer adverse effects.