Cargando…
Evaluation of machine learning algorithms for predicting direct-acting antiviral treatment failure among patients with chronic hepatitis C infection
Despite the availability of efficacious direct-acting antiviral (DAA) therapy, the number of people infected with hepatitis C virus (HCV) continues to rise, and HCV remains a leading cause of liver-related morbidity, liver transplantation, and mortality. We developed and validated machine learning (...
Autores principales: | Park, Haesuk, Lo-Ciganic, Wei-Hsuan, Huang, James, Wu, Yonghui, Henry, Linda, Peter, Joy, Sulkowski, Mark, Nelson, David R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613877/ https://www.ncbi.nlm.nih.gov/pubmed/36302828 http://dx.doi.org/10.1038/s41598-022-22819-4 |
Ejemplares similares
-
Health care utilization and costs associated with direct-acting antivirals for patients with substance use disorders and chronic hepatitis C
por: Jiang, Xinyi, et al.
Publicado: (2021) -
Impact of All‐Oral Direct‐Acting Antivirals on Clinical and Economic Outcomes in Patients With Chronic Hepatitis C in the United States
por: Park, Haesuk, et al.
Publicado: (2019) -
Direct‐Acting Antiviral Treatment Use Remains Low Among Florida Medicaid Beneficiaries With Chronic Hepatitis C
por: Park, Haesuk, et al.
Publicado: (2020) -
The use of all-oral direct-acting antivirals in hepatitis C virus-infected patients with substance use disorders
por: Jiang, Xinyi, et al.
Publicado: (2021) -
Ribavirin revisited in the era of direct‐acting antiviral therapy for hepatitis C virus infection
por: Feld, Jordan J., et al.
Publicado: (2016)