Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices.
Paola StolfiIlaria ValentiniMaria Concetta PalumboPaolo TieriAndrea GrignolioFilippo CastiglionePublished in: BIBM (2019)
Keyphrases
- synthetic data
- machine learning
- health care
- risk factors
- physical activity
- chronic disease
- high risk
- cardiovascular disease
- health related
- real image data
- data sets
- continuous monitoring
- wearable devices
- real world
- diabetic patients
- sensor networks
- health monitoring
- natural language processing
- mobile devices
- machine learning algorithms
- electronic health records
- primary care
- decision trees
- data mining
- learning algorithm
- risk assessment
- artificial intelligence
- early warning
- information systems
- mri data
- information extraction
- synthetic datasets
- hands free
- ubiquitous computing
- statistical methods
- database
- machine learning methods
- real life
- text classification
- health care providers
- diabetes mellitus
- wearable sensors
- input device
- medical data
- gesture recognition
- activity recognition