Opening the Black Box: Exploring Temporal Pattern of Type 2 Diabetes Complications in Patient Clustering Using Association Rules and Hidden Variable Discovery.
Leila YousefiStephen SwiftMahir ArzokyLucia SacchiLuca ChiovatoAllan TuckerPublished in: CBMS (2019)
Keyphrases
- black box
- hidden variables
- association rules
- temporal patterns
- knowledge discovery
- pattern discovery
- data mining
- black boxes
- spatio temporal patterns
- association rule mining
- clustering algorithm
- exploratory analysis
- high risk
- white box
- bayesian networks
- k means
- bayesian inference
- temporal information
- health care
- frequent patterns
- test cases
- data mining techniques
- em algorithm
- integration testing
- machine learning
- models with hidden variables
- network structure
- databases
- association patterns
- training data
- high level