Machine learning applied to epilepsy: bibliometric and visual analysis from 2004 to 2023

Q Huo, X Luo, ZC Xu, XY Yang - Frontiers in Neurology, 2024 - frontiersin.org
Background Epilepsy is one of the most common serious chronic neurological disorders,
which can have a serious negative impact on individuals, families and society, and even …

Bibliometric and visual analysis of global publications on kaempferol

R Tang, L Lin, Y Liu, H Li - Frontiers in Nutrition, 2024 - frontiersin.org
Introduction Kaempferol, a flavonoid found in numerous foods and medicinal plants, offers a
range of health benefits such as anti-inflammatory, antioxidant, antiviral, anticancer …

Artificial Intelligence in Chronic Obstructive Pulmonary Disease: Research Status, Trends, and Future Directions--A Bibliometric Analysis from 2009 to 2023

H Bian, S Zhu, Y Zhang, Q Fei, X Peng… - … Journal of Chronic …, 2024 - Taylor & Francis
Objective A bibliometric analysis was conducted using VOSviewer and CiteSpace to
examine studies published between 2009 and 2023 on the utilization of artificial intelligence …

Unraveling the Relationship Between Anoikis-Related Genes and Cancer-Associated Fibroblasts in Liver Hepatocellular Carcinoma

J Bai, H Wang, M Li, L Zhou, S Li - Heliyon, 2024 - cell.com
This study intended to determine the molecular subtypes of liver hepatocellular carcinoma
(LIHC) on the strength of anoikis-related genes (ARGs) and to assess their prognostic value …

Research hotspots and frontiers of machine learning in renal medicine: a bibliometric and visual analysis from 2013 to 2024

F Li, CH Hu, X Luo - 2024 - researchsquare.com
Background The kidney, an essential organ of the human body, can suffer pathological
damage that can potentially have serious adverse consequences on the human body and …