Machine Learning Approaches for the Prediction of Hepatitis B and C Seropositivity

(1) Background: The identification of patients at risk for hepatitis B and C viral infection is a challenge for the clinicians and public health specialists. The aim of this study was to evaluate and compare the predictive performances of four machine learning-based models for the prediction of HBV...

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Detalles Bibliográficos
Autores principales: Harabor, Valeriu, Mogos, Raluca, Nechita, Aurel, Adam, Ana-Maria, Adam, Gigi, Melinte-Popescu, Alina-Sinziana, Melinte-Popescu, Marian, Stuparu-Cretu, Mariana, Vasilache, Ingrid-Andrada, Mihalceanu, Elena, Carauleanu, Alexandru, Bivoleanu, Anca, Harabor, Anamaria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915359/
https://www.ncbi.nlm.nih.gov/pubmed/36767747
http://dx.doi.org/10.3390/ijerph20032380

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915359/
https://www.ncbi.nlm.nih.gov/pubmed/36767747
http://dx.doi.org/10.3390/ijerph20032380

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