2 papers
cs.LG2024
Empirical investigation of multi-source cross-validation in clinical ECG classification
Tuija Leinonen, David Wong, Antti Vasankari +4
Traditionally, machine learning-based clinical prediction models have been trained and evaluated on patient data from a single source, such as a hospital. Cross-validation methods…
cs.LG2024
Flexible framework for generating synthetic electrocardiograms and photoplethysmograms
Katri Karhinoja, Antti Vasankari, Jukka-Pekka Sirkiä +3
By generating synthetic biosignals, the quantity and variety of health data can be increased. This is especially useful when training machine learning models by enabling data augme…