Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone.
Davide ChiccoGiuseppe JurmanPublished in: BMC Medical Informatics Decis. Mak. (2020)
Keyphrases
- heart failure
- machine learning
- normal subjects
- health care
- heart disease
- chronic disease
- computer vision
- clinical decision support systems
- information extraction
- machine learning methods
- data mining
- brain imaging
- data analysis
- clinical data
- knowledge acquisition
- pattern recognition
- medical imaging
- statistical methods
- medical data
- brain tissue
- image data
- domain knowledge
- feature selection