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Construction and analysis of a joint diagnosis model of random forest and artificial neural network for heart failure
Heart failure is a global health problem that affects approximately 26 million people worldwide. As conventional diagnostic techniques for heart failure have been in practice with various limitations, it is necessary to develop novel diagnostic models to supplement existing methods. With advances an...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Impact Journals
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803554/ https://www.ncbi.nlm.nih.gov/pubmed/33401250 http://dx.doi.org/10.18632/aging.202405 |