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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...

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Detalles Bibliográficos
Autores principales: Johnson, Justin M., Khoshgoftaar, Taghi M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
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

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