A hybrid machine learning approach for hypertension risk prediction.
Min FangYingru ChenRui XueHuihui WangNilesh ChakrabortyTing SuYuyan DaiPublished in: Neural Comput. Appl. (2023)
Keyphrases
- machine learning
- risk factors
- statistical methods
- risk assessment
- prediction error
- machine learning algorithms
- recursive neural networks
- prediction accuracy
- computer vision
- prediction model
- machine learning methods
- active learning
- pattern recognition
- support vector machine
- high risk
- knowledge acquisition
- explanation based learning
- learning algorithm
- reinforcement learning
- data mining
- predictive modeling
- risk management
- learning tasks
- information extraction
- data analysis
- learning problems
- blood pressure
- risk analysis
- data sets
- artificial intelligence
- machine learning approaches
- learning systems
- feature selection
- hybrid learning
- text classification
- knowledge representation
- inductive learning
- conformal prediction
- machine learning and statistical
- knowledge discovery