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Predicting 90 day acute heart failure readmission and death using machine learning‐supported decision analysis
Readmission or death soon after heart failure (HF) admission is a significant problem. Traditional analyses for predicting such events often fail to consider the gamut of characteristics that may contribute– tending to focus on 30‐day outcomes even though the window of increased vulnerability may la...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Wiley Periodicals, Inc.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852168/ https://www.ncbi.nlm.nih.gov/pubmed/33355945 http://dx.doi.org/10.1002/clc.23532 |