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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| 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 |