Predicting Systolic Blood Pressure in Real-Time Using Streaming Data and Deep Learning.
Hager SalehEman M. G. YounisRadhya SahalAbdelmgeid A. AliPublished in: Mob. Networks Appl. (2021)
Keyphrases
- deep learning
- streaming data
- blood pressure
- data streams
- concept drift
- sliding window
- unsupervised learning
- heart rate
- data distribution
- anomaly detection
- risk factors
- blood glucose
- mental models
- weakly supervised
- machine learning
- neural network
- data sets
- correlation coefficient
- dimensionality reduction
- input image
- information extraction
- feature space