QU-GM: An IoT Based Glucose Monitoring System From Photoplethysmography, Blood Pressure, and Demographic Data Using Machine Learning.
Md Nazmul Islam ShuzanMoajjem Hossain ChowdhuryMuhammad E. H. ChowdhuryKhalid AbualsaudElias YaacoubMd. Ahasan Atick FaisalMazun AlshahwaniNoora Al BordeniFatima Al-KaabiShada Al-MohannadiSakib MahmudNizar ZorbaPublished in: IEEE Access (2024)
Keyphrases
- monitoring system
- blood pressure
- demographic data
- blood glucose
- machine learning
- heart rate
- risk factors
- machine learning methods
- health monitoring
- diabetes mellitus
- data mining
- statistical methods
- management system
- machine learning algorithms
- learning algorithm
- diabetic patients
- short term and long term
- short term
- control algorithm
- intrusion detection
- artificial intelligence
- computer systems
- intensive care unit
- low cost
- computational intelligence