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Machine learning-derived gut microbiome signature predicts fatty liver disease in the presence of in...

Machine learning-derived gut microbiome signature predicts fatty liver disease in the presence of in...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c07fe36604554929b95943d14016c913

Machine learning-derived gut microbiome signature predicts fatty liver disease in the presence of insulin resistance

About this item

Full title

Machine learning-derived gut microbiome signature predicts fatty liver disease in the presence of insulin resistance

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-12, Vol.12 (1), p.21842-21842, Article 21842

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

A simple predictive biomarker for fatty liver disease is required for individuals with insulin resistance. Here, we developed a supervised machine learning-based classifier for fatty liver disease using fecal 16S rDNA sequencing data. Based on the Kangbuk Samsung Hospital cohort (n = 777), we generated a random forest classifier to predict fatty li...

Alternative Titles

Full title

Machine learning-derived gut microbiome signature predicts fatty liver disease in the presence of insulin resistance

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c07fe36604554929b95943d14016c913

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c07fe36604554929b95943d14016c913

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-26102-4

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