An interactive machine-learning-based electronic fraud and abuse detection system in healthcare insurance.
Ilker KoseMehmet GokturkKemal KilicPublished in: Appl. Soft Comput. (2015)
Keyphrases
- health insurance
- machine learning
- health care
- fraud detection
- anomaly detection
- pattern recognition
- automatic detection
- machine learning methods
- false positives
- computer science
- information extraction
- detection method
- user interaction
- data mining
- artificial intelligence
- detection rate
- learning tasks
- learning systems
- text classification
- text mining
- supervised learning
- object detection
- support vector machine
- data analysis
- decision trees
- detection algorithm
- knowledge acquisition
- face detection
- user friendly
- active learning
- inductive logic programming
- information systems