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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Published in | Computing in cardiology Vol. 50; pp. 1 - 4 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
CinC
01.10.2023
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Subjects | |
Online Access | Get full text |
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