Computer-aided auditing of prescription drug claims

By Vijay S. Iyengar, Keith Hermiz, Ramesh Natarajan. 2013

22 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Epidemiology, Toxicology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Dennis Wei
2. Dmitry M. Malioutov
3. Guolong Su
4. Kush R. Varshney
5. Cynthia Rudin
6. Marco F. Huber
7. Nadia Burkart
8. Longo Luca

Citations in the corpus

• Interpretable Two-level Boolean Rule Learning for Classification (2015, background): “Another application requiring interpretability is fraud detection [6], where convincing reasons are needed to justify further auditing.”
• Learning sparse two-level boolean rules (2016, background): “For example, convincing reasons are legally required in fraud detection [8] to establish a claim of fraud.”