Beyond Hair Loss: Exploring the Evolution of Androgenetic Alopecia Research Based on Text Mining and Bibliometrics

January 2024 in “ World Journal of Management Science ”

androgenetic alopecia hair loss natural language processing graph theory data visualization

TLDR Data visualization tools are crucial for understanding and advancing androgenetic alopecia research.

This study analyzed word dynamics, co-occurring phrases, and keyword frequency in androgenetic alopecia research over a ten-year period using natural language processing and graph theory. It identified hidden linkages and patterns in the literature, emphasizing the importance of data visualization tools to communicate findings effectively. The results highlight key research challenges, suggest areas for further examination, and can guide future research, policy-making, and decision-making in the field of androgenetic alopecia. The study's insights are valuable for academics, medical professionals, and policymakers, helping to prioritize research areas and establish research strategies.

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