An explainable XGBoost-based approach towards assessing the risk of cardiovascular disease in patients with Type 2 Diabetes Mellitus.
Maria AthanasiouKonstantina SfrintzeriKonstantia ZarkogianniAnastasia C. ThanopoulouKonstantina S. NikitaPublished in: CoRR (2020)
Keyphrases
- risk factors
- diabetes mellitus
- cardiovascular disease
- high risk
- diabetic patients
- risk assessment
- risk management
- blood pressure
- statistical methods
- clinical diagnosis
- coronary artery disease
- patient groups
- blood glucose
- early diagnosis
- decision support system
- artificial intelligence
- type ii
- statistical analysis
- machine learning