Investigating risk patterns for suicide attempts in diabetes patients using association rules mining.
Ploypun NarindrarangkuraPatricia AlafaireetUzma Z. KhanMin Soon KimPublished in: AMIA (2022)
Keyphrases
- business intelligence
- association rules mining
- high risk
- chronic disease
- on line analytical processing
- risk factors
- decision making
- data warehouse
- association rules
- indirect association
- apriori algorithm
- data mining
- blood glucose
- cardiovascular disease
- patient groups
- diabetes mellitus
- diabetic patients
- frequent patterns
- mining association rules
- medical practitioners
- data mining techniques
- health care
- medical data
- risk management
- fuzzy association rules
- risk assessment
- decision makers
- frequent item sets
- preprocessing
- medical knowledge
- database systems
- health related
- primary care
- database