Comparison of Machine Learning Models and the Fatty Liver Index in Predicting Lean Fatty Liver

The reported prevalence of non-alcoholic fatty liver disease in studies of lean individuals ranges from 7.6% to 19.3%. The aim of the study was to develop machine-learning models for the prediction of fatty liver disease in lean individuals. The present retrospective study included 12,191 lean subje...

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Detalles Bibliográficos
Autores principales: Su, Pei-Yuan, Chen, Yang-Yuan, Lin, Chun-Yu, Su, Wei-Wen, Huang, Siou-Ping, Yen, Hsu-Heng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137474/
https://www.ncbi.nlm.nih.gov/pubmed/37189508
http://dx.doi.org/10.3390/diagnostics13081407

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137474/
https://www.ncbi.nlm.nih.gov/pubmed/37189508
http://dx.doi.org/10.3390/diagnostics13081407

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