Precision Clinical Medicine Through Machine Learning: Using High and Low Quantile Ranges of Vital Signs for Risk Stratification of ICU Patients.
Khalid AlghataniNariman AmmarAbdelmounaam RezguiArash Shaban-NejadPublished in: IEEE Access (2022)
Keyphrases
- vital signs
- clinical medicine
- heart rate
- machine learning
- monitoring system
- traumatic brain injury
- patient outcomes
- intensive care unit
- intensive care units
- medical data
- health monitoring
- blood pressure
- clinical data
- continuous monitoring
- risk assessment
- high risk
- health status
- risk factors
- risk management
- decision making
- data analysis
- data mining
- feature selection
- information extraction
- text classification
- text mining
- natural language processing
- support vector machine
- knowledge discovery
- active learning