Prediction and Staging of Hepatic Fibrosis in Children with Hepatitis C Virus: A Machine Learning Approach

OBJECTIVES: The aim of this study is to develop an intelligent diagnostic system utilizing machine learning for data cleansing, then build an intelligent model and obtain new cutoff values for APRI (aspartate aminotransferase-to-platelet ratio) and FIB-4 (fibrosis score) for the prediction and stagi...

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Detalles Bibliográficos
Autores principales: Barakat, Nahla H., Barakat, Sana H., Ahmed, Nadia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6689505/
https://www.ncbi.nlm.nih.gov/pubmed/31406609
http://dx.doi.org/10.4258/hir.2019.25.3.173

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6689505/
https://www.ncbi.nlm.nih.gov/pubmed/31406609
http://dx.doi.org/10.4258/hir.2019.25.3.173

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