Bibliometric analysis of 100 top cited articles of heart failure–associated diseases in combination with machine learning

OBJECTIVE: The aim of this paper is to analyze the application of machine learning in heart failure-associated diseases using bibliometric methods and to provide a dynamic and longitudinal bibliometric analysis of heart failure–related machine learning publications. MATERIALS AND METHODS: Web of Sci...

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Detalles Bibliográficos
Autores principales: Kuang, Xuyuan, Zhong, Zihao, Liang, Wei, Huang, Suzhen, Luo, Renji, Luo, Hui, Li, Yongheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248156/
https://www.ncbi.nlm.nih.gov/pubmed/37304963
http://dx.doi.org/10.3389/fcvm.2023.1158509

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248156/
https://www.ncbi.nlm.nih.gov/pubmed/37304963
http://dx.doi.org/10.3389/fcvm.2023.1158509

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