Predicting Cardiovascular Risk Level Based on Biochemical Risk Factor Indicators Using Machine Learning: A Case Study in Indonesia.
Yaya HeryadiRaymond KosalaRaymond BahanaIndrajani SutejaPublished in: ACIIDS (2) (2019)
Keyphrases
- risk factors
- machine learning
- statistical methods
- high risk
- risk assessment
- risk management
- risk analysis
- blood pressure
- machine learning methods
- cardiovascular disease
- machine learning algorithms
- artificial intelligence
- experimental data
- information extraction
- statistical model
- statistical analysis
- text classification
- data mining techniques
- knowledge discovery
- expert systems
- case study
- decision trees