Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features.
Filipe A. C. OliveiraFelipe M. DiasMarcelo A. F. ToledoDiego Armando Cardona CárdenasDouglas A. AlmeidaEstela RibeiroJosé Eduardo KriegerMarco A. GutierrezPublished in: CoRR (2023)
Keyphrases
- machine learning
- false positives
- feature set
- pattern recognition
- machine learning approaches
- feature vectors
- detection algorithm
- machine learning algorithms
- signal detection
- detection method
- text classification
- low signal to noise ratio
- machine learning models
- automatic detection
- learning methodologies
- adaboost classifier
- feature selection
- signal processing
- feature extraction
- image features
- low level
- feature space
- image processing
- non stationary
- continuous wavelet transform
- diabetic patients
- computer science
- support vector machine classifier
- active learning
- feature construction
- detection rate
- object detection
- frequency domain
- co occurrence