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Machine learning algorithms for claims data‐based prediction of in‐hospital mortality in patients with heart failure
AIMS: Models predicting mortality in heart failure (HF) patients are often limited with regard to performance and applicability. The aim of this study was to develop a reliable algorithm to compute expected in‐hospital mortality rates in HF cohorts on a population level based on administrative data...
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| Publicado no: | ESC Heart Fail |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8318394/ https://ncbi.nlm.nih.gov/pubmed/34085775 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/ehf2.13398 |
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