A dynamic machine learning model for prediction of NAFLD in a health checkup population: A longitudinal study

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is one of the most common liver diseases worldwide. Currently, most NAFLD prediction models are diagnostic models based on cross-sectional data, which failed to provide early identification or clarify causal relationships. We aimed to use time-se...

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Detalles Bibliográficos
Autores principales: Deng, Yuhan, Ma, Yuan, Fu, Jingzhu, Wang, Xiaona, Yu, Canqing, Lv, Jun, Man, Sailimai, Wang, Bo, Li, Liming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412833/
https://www.ncbi.nlm.nih.gov/pubmed/37576311
http://dx.doi.org/10.1016/j.heliyon.2023.e18758

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412833/
https://www.ncbi.nlm.nih.gov/pubmed/37576311
http://dx.doi.org/10.1016/j.heliyon.2023.e18758

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