Evaluating the adverse outcome of subtypes of heart failure with preserved ejection fraction defined by machine learning
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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| Format: | Article |
| Language: | English |
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IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund
2022-02-01
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| Series: | EXCLI Journal : Experimental and Clinical Sciences |
| Subjects: | |
| Online Access: | https://www.excli.de/index.php/excli/article/view/4572 |