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Evaluating the adverse outcome of subtypes of heart failure with preserved ejection fraction defined by machine learning: A systematic review focused on defining high risk phenogroups
The ability to distinguish clinically meaningful subtypes of heart failure with preserved ejection fraction (HFpEF) has recently been examined by machine learning techniques but studies appear to have produced discordant results. The objective of this study is to synthesize the types of HFpEF by exa...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Leibniz Research Centre for Working Environment and Human Factors
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983850/ https://www.ncbi.nlm.nih.gov/pubmed/35391918 http://dx.doi.org/10.17179/excli2021-4572 |