Disease Risk Prediction by Mining Personalized Health Trend Patterns: A Case Study on Diabetes.
Guo-Cheng LanChao-Hui LeeYu-Yen LeeVincent S. TsengJin-Shang WuChu-Yu ChinMiin-Luen DayShyh-Chyi WangChing-Nain ChangShyr-Yuan ChengPublished in: TAAI (2012)
Keyphrases
- health care
- pattern mining
- frequent patterns
- sequential patterns
- emerging patterns
- data mining techniques
- interesting patterns
- pattern discovery
- sequential pattern mining
- prediction accuracy
- mining frequent
- mining patterns
- diabetic patients
- case study
- mining algorithm
- periodic patterns
- data mining
- repeating patterns
- previously unknown
- electronic health records
- prediction model
- frequent pattern mining
- web mining
- transactional databases
- discovering interesting
- prediction error
- itemsets
- health related
- transactional data
- clinical pathway
- clickstream data
- cardiovascular disease
- graph patterns
- disease outbreaks
- interestingness measures
- data mining methods
- diabetes mellitus
- text mining
- indirect association
- e learning
- information systems