Diagnostic Accuracy of Smartphone-Connected Electrophysiological Biosensors for Prediction of Blood Glucose Level in a Type-2 Diabetic Patient Using Machine Learning: A Pilot Study.
Mohammed Zubair M. ShamimSattam AlotaibiHany S. HusseinMohammed FarragMohammad ShibleePublished in: IEEE Embed. Syst. Lett. (2022)
Keyphrases
- blood glucose
- pilot study
- diabetic patients
- machine learning
- prediction accuracy
- diabetes mellitus
- blood pressure
- short term and long term
- patient specific
- computer games
- short term
- long term
- machine learning methods
- pilot project
- decision making
- data mining
- machine learning algorithms
- text mining
- knowledge discovery
- expert systems
- medical images
- information extraction
- acute myocardial infarction