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A Feature-Driven Decision Support System for Heart Failure Prediction Based on χ(2) Statistical Model and Gaussian Naive Bayes
Heart failure (HF) is considered a deadliest disease worldwide. Therefore, different intelligent medical decision support systems have been widely proposed for detection of HF in literature. However, low rate of accuracies achieved on the HF data is a major problem in these decision support systems....
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6925936/ https://www.ncbi.nlm.nih.gov/pubmed/31885684 http://dx.doi.org/10.1155/2019/6314328 |