Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices.
Paola StolfiIlaria ValentiniMaria Concetta PalumboPaolo TieriAndrea GrignolioFilippo CastiglionePublished in: BMC Bioinform. (2020)
Keyphrases
- synthetic data
- machine learning
- health care
- chronic disease
- physical activity
- high risk
- data sets
- real world
- real image data
- risk factors
- health related
- continuous monitoring
- wearable devices
- mri data
- machine learning algorithms
- mobile devices
- cardiovascular disease
- early warning
- risk assessment
- diabetic patients
- learning algorithm
- primary care
- machine learning methods
- text classification
- risk management
- support vector machine
- electronic health records
- decision trees
- feature selection
- artificial intelligence
- human computer interaction
- hands free
- database
- statistical methods
- activity recognition
- ambient intelligence