A hybrid machine learning approach for early mortality prediction of ICU patients.
Ardeshir MansouriMohammadreza NoeiMohammad Saniee AbadehPublished in: Prog. Artif. Intell. (2022)
Keyphrases
- intensive care unit
- prognostic models
- machine learning
- intensive care
- intensive care units
- septic shock
- clinical data
- survival analysis
- patient data
- decision support system
- high risk
- prediction accuracy
- prostate cancer
- risk factors
- blood pressure
- logistic regression
- medical staff
- text mining
- machine learning methods
- cardiac surgery
- data mining
- health care
- machine learning algorithms
- prediction model
- medical data
- information extraction
- decision support
- learning algorithm
- decision trees
- knowledge acquisition
- artificial intelligence
- early diagnosis
- predictive modeling
- early detection
- patient outcomes
- statistical methods
- text classification
- feature selection
- neural network
- decision making
- protein secondary structure prediction
- cancer patients
- regression model
- prediction error