Diabetes mellitus risk prediction in the presence of class imbalance using flexible machine learning methods.
Somayeh SadeghiDavood KhaliliAzra RamezankhaniMohammad Ali MansourniaMahboubeh ParsaeianPublished in: BMC Medical Informatics Decis. Mak. (2022)
Keyphrases
- machine learning methods
- class imbalance
- diabetes mellitus
- risk factors
- statistical methods
- class distribution
- active learning
- machine learning
- machine learning algorithms
- diabetic patients
- prediction accuracy
- cost sensitive
- imbalanced class distribution
- ensemble methods
- imbalanced datasets
- cost sensitive learning
- risk assessment
- sampling methods
- risk management
- decision making
- feature selection
- concept drift
- training data
- supervised learning
- decision trees
- type ii
- learning algorithm