Machine learning models for predicting non-alcoholic fatty liver disease in the general United States population: NHANES database

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease, affecting over 30% of the United States population. Early patient identification using a simple method is highly desirable. AIM: To create machine learning models for predicting NAFLD in the general Unite...

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Detalles Bibliográficos
Autores principales: Atsawarungruangkit, Amporn, Laoveeravat, Passisd, Promrat, Kittichai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2021
Materias:
Retrospective Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568572/
https://www.ncbi.nlm.nih.gov/pubmed/34786176
http://dx.doi.org/10.4254/wjh.v13.i10.1417

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568572/
https://www.ncbi.nlm.nih.gov/pubmed/34786176
http://dx.doi.org/10.4254/wjh.v13.i10.1417

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