Harnessing the Power of Ensemble Machine Learning for the Heart Stroke Classification.
Purnima PalManju NandalSrishti DikshitAarushi ThusuHarsh Vikram SinghPublished in: EAI Endorsed Trans. Pervasive Health Technol. (2023)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- machine learning algorithms
- supervised machine learning
- feature selection
- text classification
- decision trees
- supervised learning
- learning algorithm
- support vector machine
- final classification
- multiple classifier systems
- classification accuracy
- machine learning approaches
- training set
- feature extraction
- computer vision
- data mining
- classification method
- information extraction
- support vector
- model selection
- class labels
- classification algorithm
- neural network
- majority voting
- supervised classification
- generalization ability
- ensemble methods
- feature vectors
- collective intelligence
- wrapper feature selection
- increase classification accuracy
- wall motion
- data sets
- training data
- multiple classifiers
- binary classification problems
- active learning
- ensemble classifier
- cross validation
- natural language processing
- text mining
- random forests
- ensemble learning
- semi supervised learning
- random forest
- classification models
- support vector machine svm
- power consumption