Non-Invasive Blood Glucose Estimation Based on Machine Learning Algorithms Using PPG Signals.
Shama SatterTae-Ho KwonKi-Doo KimPublished in: ICAIIC (2024)
Keyphrases
- machine learning algorithms
- blood pressure
- heart rate
- blood glucose
- independent component analysis
- benchmark data sets
- machine learning
- learning algorithm
- predictive accuracy
- machine learning methods
- decision trees
- learning problems
- random forests
- signal processing
- machine learning approaches
- learning tasks
- input features
- transfer learning
- standard machine learning algorithms
- diabetic patients
- machine learning systems
- diabetes mellitus
- machine learning and data mining algorithms
- statistical machine learning
- parameter estimation
- machine learning models
- text classification
- learning styles