Machine learning to predict progression of non-alcoholic fatty liver to non-alcoholic steatohepatitis or fibrosis.

Ghandian S, Thapa R, Garikipati A, Barnes G, Green-Saxena A, Calvert J, Mao Q, Das R

DOI: 10.1002/jgh3.12716
Published: 2022 Mar
Container: JGH open : an open access journal of gastroenterology and hepatology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1002/jgh3.12716,
  title = {Machine learning to predict progression of non-alcoholic fatty liver to non-alcoholic steatohepatitis or fibrosis.},
  author = {Ghandian S and Thapa R and Garikipati A and Barnes G and Green-Saxena A and Calvert J and Mao Q and Das R},
  year = {2022},
  journal = {JGH open : an open access journal of gastroenterology and hepatology},
  doi = {10.1002/jgh3.12716},
  url = {https://doi.org/10.1002/jgh3.12716}
}

RIS

TY  - JOUR
TI  - Machine learning to predict progression of non-alcoholic fatty liver to non-alcoholic steatohepatitis or fibrosis.
AU  - Ghandian S
AU  - Thapa R
AU  - Garikipati A
AU  - Barnes G
AU  - Green-Saxena A
AU  - Calvert J
AU  - Mao Q
AU  - Das R
PY  - 2022
JO  - JGH open : an open access journal of gastroenterology and hepatology
DO  - 10.1002/jgh3.12716
UR  - https://doi.org/10.1002/jgh3.12716
ER  -

APA

S, G., R, T., A, G., G, B., A, G., J, C., Q, M., & R, D. (2022). Machine learning to predict progression of non-alcoholic fatty liver to non-alcoholic steatohepatitis or fibrosis.. JGH open : an open access journal of gastroenterology and hepatology. https://doi.org/10.1002/jgh3.12716

Source records

pubmed · retrieved 2026-09-25T00:29:50.035Z