A Machine Learning Based Predictive Model to Diagnose Heart Failure Patients using Imbalanced Classification Problem.
Muhammad MudassarMehtab AfzalTufail MuhammadPublished in: ICACS (2023)
Keyphrases
- machine learning
- heart failure
- predictive model
- decision trees
- machine learning methods
- pattern recognition
- supervised learning
- classification rules
- support vector machine
- normal subjects
- health care
- text classification
- training set
- model selection
- machine learning algorithms
- feature selection
- heart disease
- classification models
- prediction model
- classification algorithm
- classification accuracy
- data mining
- chronic disease
- class labels
- artificial neural networks
- support vector
- clinical data
- class imbalance
- genetic programming
- active learning
- feature space
- training data
- support vector machine svm
- training samples
- historical data
- feature extraction
- neural network
- multi class