The following publications are possibly variants of this publication:
- Medicare Fraud Detection using CatBoostJohn T. Hancock, Taghi M. Khoshgoftaar. iri 2020: 97-103 [doi]
- Evaluating Model Predictive Performance: A Medicare Fraud Detection Case StudyRichard A. Bauder, Matthew Herland, Taghi M. Khoshgoftaar. iri 2019: 9-14 [doi]
- Medicare fraud detection using neural networksJustin M. Johnson, Taghi M. Khoshgoftaar. jbd, 6:63, 2019. [doi]
- Explainable machine learning models for Medicare fraud detectionJohn T. Hancock, Richard A. Bauder, Huanjing Wang, Taghi M. Khoshgoftaar. jbd, 10(1):154, December 2023. [doi]
- Hyperparameter Tuning for Medicare Fraud Detection in Big DataJohn T. Hancock, Taghi M. Khoshgoftaar. sncs, 3(6):440, 2022. [doi]
- Medicare Fraud Detection Using Machine Learning MethodsRichard A. Bauder, Taghi M. Khoshgoftaar. icmla 2017: 858-865 [doi]
- A Survey of Medicare Data Processing and Integration for Fraud DetectionRichard A. Bauder, Taghi M. Khoshgoftaar. iri 2018: 9-14 [doi]