Machine learning application development to predict blood glucose level based on real time patient data.
György EignerMiklós NagyLevente KovácsPublished in: RIVF (2020)
Keyphrases
- application development
- patient data
- machine learning
- web applications
- end users
- clinical data
- data processing
- intraoperative
- blood glucose
- medical data
- data management
- development process
- intensive care
- general purpose
- diabetic patients
- machine learning methods
- data mining
- management system
- data analysis
- knowledge acquisition
- clinical guidelines
- artificial intelligence
- database
- user interface
- medical records
- knowledge base
- web services
- statistical methods
- privacy preserving
- database systems
- association rules