A Deep Learning Approach to Predict Diabetes' Cardiovascular Complications From Administrative Claims.
Enrico LongatoGian Paolo FadiniGiovanni SparacinoAngelo AvogaroLara TramontanBarbara Di CamilloPublished in: IEEE J. Biomed. Health Informatics (2021)
Keyphrases
- deep learning
- high risk
- risk factors
- unsupervised feature learning
- cardiovascular disease
- unsupervised learning
- machine learning
- restricted boltzmann machine
- weakly supervised
- mental models
- risk assessment
- health care
- object recognition
- heart rate
- pattern recognition
- blood pressure
- bayesian networks
- feature extraction
- feature selection