Finding undiagnosed patients with hepatitis C virus: an application of machine learning to US ambulatory electronic medical records

AIMS: To develop and validate a machine learning (ML) algorithm to identify undiagnosed hepatitis C virus (HCV) patients, in order to facilitate prioritisation of patients for targeted HCV screening. METHODS: This retrospective study used ambulatory electronic medical records (EMR) from January 2015...

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Detalles Bibliográficos
Autores principales: Rigg, John, Doyle, Orla, McDonogh, Niamh, Leavitt, Nadea, Ali, Rehan, Son, Annie, Kreter, Bruce
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843171/
https://www.ncbi.nlm.nih.gov/pubmed/36639190
http://dx.doi.org/10.1136/bmjhci-2022-100651

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843171/
https://www.ncbi.nlm.nih.gov/pubmed/36639190
http://dx.doi.org/10.1136/bmjhci-2022-100651

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