Pairwise Feature Interactions to Predict Arrhythmic Risk of Brugada Syndrome.
Sharen LeeJiandong ZhouKonstantinos P. LetsasKa Hou Christien LiTong LiuSven ZumhagenEric Schulze-BahrGary TseQingpeng ZhangPublished in: CinC (2021)
Keyphrases
- feature interactions
- pairwise
- loss function
- markov random field
- risk management
- multi class
- similarity measure
- neural network
- semi supervised
- pairwise interactions
- real time
- risk measures
- higher order
- real world
- high order
- point sets
- similarity function
- graph matching
- probabilistic model
- risk assessment
- risk factors
- high risk
- early warning
- decision making
- minimum risk
- artificial intelligence