Raffaele Marchesi

Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data

2022 · arXiv (Cornell University)

Several approaches have been developed to mitigate algorithmic bias stemming from health data poverty, where minority groups are underrepresented in training datasets. Augmenting the minority class using resampling (such as SMOTE) is a widely used …