A Machine Learning Based Framework to Identify and Classify Non-alcoholic Fatty Liver Disease in a Large-Scale Population

Non-alcoholic fatty liver disease (NAFLD) is a common serious health problem worldwide, which lacks efficient medical treatment. We aimed to develop and validate the machine learning (ML) models which could be used to the accurate screening of large number of people. This paper included 304,145 adul...

Descripción completa

Detalles Bibliográficos
Autores principales: Ji, Weidong, Xue, Mingyue, Zhang, Yushan, Yao, Hua, Wang, Yushan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013842/
https://www.ncbi.nlm.nih.gov/pubmed/35444985
http://dx.doi.org/10.3389/fpubh.2022.846118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013842/
https://www.ncbi.nlm.nih.gov/pubmed/35444985
http://dx.doi.org/10.3389/fpubh.2022.846118

Ejemplares similares