Synthetic Data Generation in Small Datasets to Improve Classification Performance for Chronic Heart Failure Prediction

In cardiology, we frequently develop machine learning models to predict events such as heart failure. Oftentimes, these events occur at low incidence in the available data, especially for under-represented subpopulations, which limits classifier performance due to class imbalance. To mitigate these...

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Bibliographic Details
Published inComputing in cardiology Vol. 50; pp. 1 - 4
Main Authors Zawadzki, Roy S, Parvaneh, Saman
Format Conference Proceeding
LanguageEnglish
Published CinC 01.10.2023
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