Classification of patients with diabetes by analyzing the patterns of proteins present in saliva using machine learning.
Rodrigo CostaCarmelo J. A. Bastos FilhoAnthony LinsPublished in: LA-CCI (2022)
Keyphrases
- machine learning
- lung disease
- pattern recognition
- machine learning methods
- text classification
- decision trees
- supervised machine learning
- support vector machine
- machine learning algorithms
- feature selection
- medical data
- data mining
- supervised learning
- active learning
- protein classification
- data mining techniques
- normal controls
- pattern discovery
- machine learning approaches
- high risk
- medical knowledge
- diabetic patients
- protein protein interaction networks
- classification accuracy
- diabetes mellitus
- chronic disease
- knowledge discovery
- information extraction
- feature extraction