Non-invasive classification of stable HFpEF using a deep learning model trained on acoustic features of sustained vowels
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Background: Conventional identification of stable HFpEF still depends on resource-intensive clinical assessment, whereas non-invasive acoustic analysis of sustained vowels may provide a complementary and accessible classification... ...
