Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical features.
Anamul HaqueDoug StubbsNina C. HubigFrancis G. SpinaleWilliam J. RichardsonPublished in: BMC Medical Informatics Decis. Mak. (2022)
Keyphrases
- machine learning
- feature extraction
- machine learning approaches
- feature vectors
- low level
- feature space
- feature generation
- face recognition
- e learning
- computer vision
- artificial intelligence
- information extraction
- image features
- feature set
- patient specific
- experimental data
- machine learning methods
- learning methodologies
- extracted features
- fully automatic
- machine learning algorithms
- active learning
- pattern recognition
- learning algorithm