Cargando…
A machine-learning algorithm to identify hepatitis C in health insurance claims data
Autores principales: | Khan, Mohammed A., Soh, Jae Eui, Maenner, Matthew, Thompson, William W., Nelson, Noele P. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
University of Illinois at Chicago Library
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6606263/ http://dx.doi.org/10.5210/ojphi.v11i1.9685 |
Ejemplares similares
-
Hepatitis C testing trends among large commercially insured populations, 2011–2017
por: Khan, Mohammed A., et al.
Publicado: (2019) -
Trend analysis in hepatitis C testing, OptumLabs® Data Warehouse, 2011–2017
por: Sullivan, Jane, et al.
Publicado: (2019) -
Prevalence of Hepatitis C Testing Among Non-Institutionalized Individuals in the US, NHIS 2013-2017
por: Soh, Jae Eui, et al.
Publicado: (2019) -
Mental health outcomes for individuals with chronic hepatitis C infection.
por: Thompson, William W., et al.
Publicado: (2019) -
Measuring trends in hepatitis C testing with commercial laboratory data
por: Canary, Lauren, et al.
Publicado: (2019)