Small samples-oriented intrinsically explainable machine learning using Variational Bayesian Logistic Regression: An intensive care unit readmission prediction case for liver transplantation patients.
Jinping LiuXiaoqiang WuYongming XieZhaohui TangYongfang XieSubo GongPublished in: Expert Syst. Appl. (2024)
Keyphrases
- intensive care unit
- small samples
- machine learning
- liver disease
- intensive care
- clinical data
- intensive care units
- decision support system
- cardiac surgery
- prognostic models
- feature selection
- blood pressure
- medical data
- high risk
- model selection
- bayesian logistic regression
- sample size
- prediction accuracy
- predictive power
- knowledge discovery
- image segmentation
- medical knowledge
- machine learning algorithms
- statistical analysis
- learning algorithm
- prediction model
- patient data
- machine learning methods
- heart rate
- minimally invasive
- support vector machine
- data analysis