TY  - JOUR
AU  - Eslam, Mohammed
AU  - Hashem, Ahmed M
AU  - Romero-Gomez, Manuel
AU  - Berg, Thomas
AU  - Dore, Gregory J
AU  - Mangia, Alessandra
AU  - Chan, Henry Lik Yuen
AU  - Irving, William L
AU  - Sheridan, David
AU  - Abate, Maria Lorena
AU  - Adams, Leon A
AU  - Weltman, Martin
AU  - Bugianesi, Elisabetta
AU  - Spengler, Ulrich
AU  - Shaker, Olfat
AU  - Fischer, Janett
AU  - Mollison, Lindsay
AU  - Cheng, Wendy
AU  - Nattermann, Jacob
AU  - Riordan, Stephen
AU  - Miele, Luca
AU  - Kelaeng, Kebitsaone Simon
AU  - Ampuero, Javier
AU  - Ahlenstiel, Golo
AU  - McLeod, Duncan
AU  - Powell, Elizabeth
AU  - Liddle, Christopher
AU  - Douglas, Mark W
AU  - Booth, David R
AU  - George, Jacob
AU  - International Liver Disease Genetics Consortium (ILDGC)
PY  - 2015
DO  - 10.1016/j.jhep.2015.11.008
UR  - http://hdl.handle.net/10668/9627
T2  - Journal of hepatology
AB  - The extent of liver fibrosis predicts long-term outcomes, and hence impacts management and therapy. We developed a non-invasive algorithm to stage fibrosis using non-parametric, machine learning methods designed for predictive modeling, and...
LA  - en
KW  - Chronic hepatitis B
KW  - Chronic hepatitis C
KW  - Data mining analysis
KW  - Fibrosis
KW  - IFNL
KW  - NASH
KW  - Non-alcoholic steatohepatitis
KW  - Adult
KW  - Algorithms
KW  - Biopsy
KW  - Disease Progression
KW  - Female
KW  - Genetic Markers
KW  - Hepatitis, Chronic
KW  - Humans
KW  - Interleukins
KW  - Liver
KW  - Liver Cirrhosis
KW  - Male
KW  - Middle Aged
KW  - Mutation
KW  - Non-alcoholic Fatty Liver Disease
KW  - Patient Acuity
KW  - Polymorphism, Single Nucleotide
KW  - Predictive Value of Tests
KW  - Prognosis
KW  - Reproducibility of Results
KW  - Research Design
KW  - Risk Assessment
TI  - FibroGENE: A gene-based model for staging liver fibrosis.
TY  - research article
VL  - 64
ER  -