Integration of data mining classification techniques and ensemble learning to identify risk factors and diagnose ovarian cancer recurrence.
Chih-Jen TsengChi-Jie LuChi-Chang ChangGin-Den ChenChalong CheewakriangkraiPublished in: Artif. Intell. Medicine (2017)
Keyphrases
- ensemble learning
- risk factors
- data mining
- ovarian cancer
- statistical methods
- ensemble methods
- generalization ability
- risk assessment
- random forest
- knowledge discovery
- data mining techniques
- early detection
- machine learning
- intrusion detection
- risk management
- concept drift
- association rules
- prediction accuracy
- decision making
- decision trees
- data sets
- network security
- fault diagnosis
- statistical analysis
- artificial neural networks
- data analysis