Predicting ICU Length of Stay for Patients with Diabetes Using Machine Learning and Clinical Notes.
Yuansi HuLing ZhengPublished in: AMIA (2022)
Keyphrases
- machine learning
- intensive care unit
- clinical data
- intensive care units
- high risk
- medical data
- blood glucose
- diabetic patients
- cardiovascular disease
- medical knowledge
- diabetes mellitus
- health care
- intensive care
- chronic disease
- health care providers
- primary care
- electronic health records
- machine learning methods
- pattern recognition
- knowledge acquisition
- monitoring system
- supervised learning
- inductive learning
- reinforcement learning
- risk factors
- decision trees
- medical diagnosis
- knowledge discovery
- blood pressure
- learning algorithm
- cardiac surgery
- machine learning algorithms
- medical staff
- data mining
- feature selection
- computer science
- decision support system
- information extraction
- natural language processing
- text mining
- computational intelligence
- early diagnosis
- active learning
- medical records
- clinical decision support
- clinical trials
- healthy controls
- inductive logic programming
- statistical methods
- medical images
- text classification