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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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Podrobná bibliografie
Vydáno v:	EBioMedicine
Hlavní autoři:	Wei, Runmin, Wang, Jingye, Wang, Xiaoning, Xie, Guoxiang, Wang, Yixing, Zhang, Hua, Peng, Cheng-Yuan, Rajani, Cynthia, Kwee, Sandi, Liu, Ping, Jia, Wei
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2018
Témata:	Research paper
On-line přístup:	https://ncbi.nlm.nih.gov/pmc/articles/PMC6154783/ https://ncbi.nlm.nih.gov/pubmed/30100397 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ebiom.2018.07.041
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Clinical prediction of HBV and HCV related hepatic fibrosis using machine learning

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