Research output
Support vector machine-based assessment of the T-wave morphology improves long QT syndrome diagnosis
Research output: Contribution to journal › Article › Academic › peer-review
Associated researcher
Associated organisations
- QT-interval, T-wave, Morphology, Long QT syndrome, Machine learning, INTERVAL, REGULARIZATION