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Detecting medical prescriptions suspected of fraud using an unsupervised data mining algorithm
Nowadays, health insurance companies face various types of fraud, like phantom billing, up-coding, and identity theft. Detecting such frauds is thus of vital importance to reduce and eliminate corresponding financial losses. We used an unsupervised data mining algorithm and implemented an outlier de...
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| Publicado no: | Daru |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6279664/ https://ncbi.nlm.nih.gov/pubmed/30460618 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s40199-018-0227-z |
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