Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients.
Simon KocbekPrimoz KocbekTina ZupanicGregor StiglicBogdan GabrysPublished in: ICONIP (4) (2019)
Keyphrases
- diabetes mellitus
- machine learning
- risk factors
- diabetic patients
- statistical methods
- blood glucose
- intensive care unit
- machine learning methods
- high risk
- databases
- blood pressure
- data mining
- clinical information
- risk assessment
- computer aided
- clinical trials
- computational intelligence
- knowledge discovery
- learning algorithm
- early detection
- monitoring system
- machine learning algorithms
- data analysis
- decision making
- acute myocardial infarction