Machine learning algorithms to predict major adverse cardiovascular events in patients with diabetes.
Tadesse M. AbegazAhmead BaljoonOluwaseun KilankoFatimah SherbenyAskal Ayalew AliPublished in: Comput. Biol. Medicine (2023)
Keyphrases
- machine learning algorithms
- cardiovascular disease
- acute coronary syndrome
- benchmark data sets
- risk factors
- medical diagnosis
- blood pressure
- high risk
- blood glucose
- machine learning
- learning algorithm
- predictive accuracy
- decision trees
- patient data
- learning problems
- diabetes mellitus
- machine learning methods
- machine learning models
- medical data
- diabetic patients
- chronic disease
- machine learning systems
- learning tasks
- random forests
- health care providers
- machine learning approaches
- standard machine learning algorithms
- svm classification
- heart disease
- medical knowledge
- coronary artery
- transfer learning
- clinical trials
- input features
- health care
- primary care
- learning models
- electronic health records
- supervised learning
- multiclass classification
- clinical data
- sleep apnea
- supervised machine learning algorithms
- real world