Heartbeat Anomaly Detection using Adversarial Oversampling

@article{Lima2019HeartbeatAD,
  title={Heartbeat Anomaly Detection using Adversarial Oversampling},
  author={Jefferson L. P. Lima and David Mac{\^e}do and C. Zanchettin},
  journal={2019 International Joint Conference on Neural Networks (IJCNN)},
  year={2019},
  pages={1-7}
}
  • Jefferson L. P. Lima, David Macêdo, C. Zanchettin
  • Published 2019
  • Computer Science, Mathematics
  • 2019 International Joint Conference on Neural Networks (IJCNN)
    • Cardiovascular diseases are one of the most common causes of death in the world. Prevention, knowledge of previous cases in the family, and early detection is the best strategy to reduce this fact. Different machine learning approaches to automatic diagnostic are being proposed to this task. As in most health problems, the imbalance between examples and classes is predominant in this problem and affects the performance of the automated solution. In this paper, we address the classification of… CONTINUE READING
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