Improving the Heart Disease Detection and Patients' Survival Using Supervised Infinite Feature Selection and Improved Weighted Random Forest.
Abdallah AbdellatifHamdan AbdellatefJeevan KanesanChee-Onn ChowJoon Huang ChuahHassan Muwafaq GheniPublished in: IEEE Access (2022)
Keyphrases
- random forest
- heart disease
- feature selection
- feature set
- selected features
- random forests
- medical diagnosis
- fold cross validation
- cancer classification
- decision trees
- ensemble learning
- feature ranking
- text categorization
- machine learning
- multi label
- classification accuracy
- ensemble methods
- feature space
- ensemble classifier
- semi supervised
- medical practitioners
- classification models
- semi supervised learning
- support vector
- feature subset
- medical data
- clinical data
- unsupervised learning
- medical images
- medical records
- supervised learning
- feature extraction
- data mining