Predicting 10-Year Risk of End-Organ Complications of Type 2 Diabetes With and Without Metabolic Surgery: A Machine Learning Approach.
Ali AminianAlexander ZajichekDavid E ArterburnKathy E WolskiStacy A BrethauerPhilip R SchauerSteven E NissenMichael W KattanPublished in: Diabetes care (2020)
The IDC Risk Scores can provide personalized evidence-based risk information for patients with type 2 diabetes and obesity about future cardiovascular outcomes and mortality with and without metabolic surgery based on their current status of obesity, diabetes, and related cardiometabolic conditions.
Keyphrases
- type diabetes
- current status
- insulin resistance
- minimally invasive
- machine learning
- coronary artery bypass
- metabolic syndrome
- glycemic control
- weight loss
- cardiovascular disease
- high fat diet induced
- weight gain
- risk factors
- healthcare
- acute coronary syndrome
- coronary artery disease
- artificial intelligence
- skeletal muscle
- health information
- cardiovascular events
- body mass index
- atrial fibrillation
- physical activity