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Data-Centric AI for Healthcare Fraud Detection
Automated methods for detecting fraudulent healthcare providers have the potential to save billions of dollars in healthcare costs and improve the overall quality of patient care. This study presents a data-centric approach to improve healthcare fraud classification performance and reliability using...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Nature Singapore
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173919/ https://www.ncbi.nlm.nih.gov/pubmed/37200563 http://dx.doi.org/10.1007/s42979-023-01809-x |