Article

Identifying subtypes of heart failure with machine learning: external, prognostic and genetic validation in three electronic health record sources with 320,863 individuals

2022-06-28

Abstract excerpt

<h4>Background</h4> Reliable identification of heart failure (HF) subtypes might allow targeted management. Machine learning (ML) has been used to explore HF subtypes, but neither across large, independent, population-based datasets, nor across the full spectrum of causes and presentations, nor with clinical and non-clinical validation by different ML methods. Using our published framework, we identified and valid...

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Literature Corpus work: b36a6abc-036f-5d08-a508-f85e0abbcb0e
DOI: 10.1101/2022.06.27.22276961

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