Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes.
Jiancheng YeLiang YaoJiahong ShenRethavathi JanarthanamYuan LuoPublished in: BMC Medical Informatics Decis. Mak. (2020)
Keyphrases
- machine learning
- early diagnosis
- high risk
- medical data
- cardiovascular disease
- risk factors
- patient outcomes
- diabetic patients
- intensive care
- blood glucose
- diabetes mellitus
- chronic disease
- health care
- primary care
- intensive care unit
- health care providers
- early detection
- decision trees
- machine learning methods
- computer aided
- medical diagnosis
- machine learning algorithms
- learning algorithm
- knowledge acquisition
- data mining
- early stage
- statistical methods
- feature selection
- active learning
- blood pressure
- septic shock
- clinical data
- information extraction
- prognostic models
- acute myocardial infarction
- traumatic brain injury
- health management
- supervised learning
- clinical decision support
- natural language processing
- text mining
- data preparation
- survival analysis