Harnessing machine learning and multivariate analysis to explore global trends in Cannabis sativa research

Abstract This study employs advanced data science techniques to explore global research trends in Cannabis sativa from 1974 to 2024. This research integrated bibliographic datasets from PubMed, Scopus, and Web of Science. By combining latent Dirichlet allocation (LDA) and HJ-Biplot methods, we extra...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Javier De La Hoz-M, Karime Montes-Escobar, Carlos Alfredo Salas-Macias
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	BMC 2026-02-01
Цуврал:	Journal of Cannabis Research
Нөхцлүүд:	Cannabinoids Bibliometric analysis Collaborative networks HJ-Biplot Latent topics
Онлайн хандалт:	https://doi.org/10.1186/s42238-026-00397-w
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!