Explainable machine learning models for Medicare fraud detection

Abstract As a means of building explainable machine learning models for Big Data, we apply a novel ensemble supervised feature selection technique. The technique is applied to publicly available insurance claims data from the United States public health insurance program, Medicare. We approach Medic...

Descripció completa

Guardat en:

Dades bibliogràfiques
Autors principals:	John T. Hancock, Richard A. Bauder, Huanjing Wang, Taghi M. Khoshgoftaar
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2023-10-01
Col·lecció:	Journal of Big Data
Matèries:	Big Data Class imbalance Explainable machine learning models Ensemble supervised feature selection Medicare fraud detection
Accés en línia:	https://doi.org/10.1186/s40537-023-00821-5
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Explainable machine learning models for Medicare fraud detection

Ítems similars