Diabetes Mellitus Disease Prediction Using Machine Learning Classifiers with Oversampling and Feature Augmentation.
B. Shamreen AhamedMeenakshi Sumeet AryaAuxilia Osvin Nancy VPublished in: Adv. Hum. Comput. Interact. (2022)
Keyphrases
- diabetes mellitus
- diabetic patients
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- feature set
- machine learning approaches
- feature selection
- feature ranking
- prediction accuracy
- risk factors
- support vector
- ensemble classifier
- learning algorithm
- feature subset
- naive bayes
- training data
- active learning
- outbreak detection
- training samples
- model selection
- supervised learning
- nearest neighbour
- feature vectors
- blood glucose
- text classification
- statistical methods
- ensemble learning
- software engineering
- support vector machine
- decision boundary
- decision making