Machine learning based detection of T-wave alternans in real ambulatory conditions.
Lidia Pascual-SánchezRebeca Goya-EstebanFernando Cruz-RoldánAntonio Hernández-MadridManuel Blanco-VelascoPublished in: Comput. Methods Programs Biomed. (2024)
Keyphrases
- machine learning
- pattern recognition
- false alarms
- detection algorithm
- real world
- automatic detection
- detection rate
- real life
- artificial intelligence
- knowledge representation
- information extraction
- change detection
- machine learning methods
- sufficient conditions
- computational intelligence
- decision trees
- event detection
- detection method
- database
- anomaly detection
- natural language processing
- supervised learning
- object detection
- data analysis
- inductive learning
- supervised machine learning
- detection accuracy
- machine learning approaches
- detection scheme
- learning problems
- statistical methods
- knowledge acquisition
- active learning
- training set
- face recognition