Assessment of the risk factors of type II diabetes using ACO with self-regulative update function and decision trees by evaluation from Fisher's Z-transformation.
A. Sheik AbdullahPublished in: Medical Biol. Eng. Comput. (2022)
Keyphrases
- risk factors
- type ii
- risk assessment
- diabetes mellitus
- decision trees
- high risk
- neyman pearson
- cardiovascular disease
- statistical methods
- type i error
- decision making
- risk management
- ant colony optimization
- machine learning
- machine learning algorithms
- blood pressure
- information security
- health care
- statistical analysis
- computer systems
- decision makers
- data analysis
- medical practitioners