GWO-FI: A novel machine learning framework by combining Gray Wolf Optimizer and Frequent Itemsets to diagnose and investigate effective factors on In-Hospital Mortality and Length of Stay among Kermanshahian Cardiovascular Disease patients.
Ali YavariParisa JanjaniSayeh MotavaseliSeyran WeysiSoraya SiabaniMohammad RouzbahaniPublished in: CoRR (2022)
Keyphrases
- frequent itemsets
- machine learning
- cardiovascular disease
- early diagnosis
- itemsets
- association rules
- association rule mining
- patient groups
- health care
- high risk
- risk factors
- data streams
- frequent itemset mining
- clinical diagnosis
- intensive care unit
- medical doctors
- data mining
- frequent patterns
- data analysis
- real world
- data preparation
- mining frequent itemsets
- decision trees
- chronic disease
- knowledge base
- coronary artery disease