Clinical prediction of HBV and HCV related hepatic fibrosis using machine learning

Clinical prediction of advanced hepatic fibrosis (HF) and cirrhosis has long been challenging due to the gold standard, liver biopsy, being an invasive approach with certain limitations. Less invasive blood test tandem with a cutting-edge machine learning algorithm shows promising diagnostic potenti...

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Detalles Bibliográficos
Autores principales: Wei, Runmin, Wang, Jingye, Wang, Xiaoning, Xie, Guoxiang, Wang, Yixing, Zhang, Hua, Peng, Cheng-Yuan, Rajani, Cynthia, Kwee, Sandi, Liu, Ping, Jia, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Research paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6154783/
https://www.ncbi.nlm.nih.gov/pubmed/30100397
http://dx.doi.org/10.1016/j.ebiom.2018.07.041

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6154783/
https://www.ncbi.nlm.nih.gov/pubmed/30100397
http://dx.doi.org/10.1016/j.ebiom.2018.07.041

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