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Construction and analysis of heart failure diagnosis model based on random forest and artificial neural network
Heart failure is a global health problem and the number of sufferers is increasing as the population grows and ages. Existing diagnostic techniques for heart failure have various limitations in the clinical setting and there is a need to develop a new diagnostic model to complement the existing diag...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Lippincott Williams & Wilkins
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575800/ https://www.ncbi.nlm.nih.gov/pubmed/36254001 http://dx.doi.org/10.1097/MD.0000000000031097 |