Cargando…
Finding undiagnosed patients with hepatitis C infection: an application of artificial intelligence to patient claims data
Hepatitis C virus (HCV) remains a significant public health challenge with approximately half of the infected population untreated and undiagnosed. In this retrospective study, predictive models were developed to identify undiagnosed HCV patients using longitudinal medical claims linked to prescript...
Autores principales: | Doyle, Orla M., Leavitt, Nadejda, Rigg, John A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324575/ https://www.ncbi.nlm.nih.gov/pubmed/32601354 http://dx.doi.org/10.1038/s41598-020-67013-6 |
Ejemplares similares
-
Finding undiagnosed patients with hepatitis C virus: an application of machine learning to US ambulatory electronic medical records
por: Rigg, John, et al.
Publicado: (2023) -
Machine learning using longitudinal prescription and medical claims for the detection of non-alcoholic steatohepatitis (NASH)
por: Yasar, Ozge, et al.
Publicado: (2022) -
An Algorithm for the Identification of Undiagnosed COPD Cases Using Administrative Claims Data
por: Mapel, Douglas W., et al.
Publicado: (2006) -
Artificial Intelligence. Setting the Scene: theClaim and the Issues
por: Penrose, Roger
Publicado: (1992) -
Mortality Prediction of Patients With Cardiovascular Disease Using Medical Claims Data Under Artificial Intelligence Architectures: Validation Study
por: Tran, Linh, et al.
Publicado: (2021)