LEARN algorithm: a novel option for predicting non-alcoholic steatohepatitis

BACKGROUND: There is an unmet need for accurate non-invasive methods to diagnose non-alcoholic steatohepatitis (NASH). Since impedance-based measurements of body composition are simple, repeatable and have a strong association with non-alcoholic fatty liver disease (NAFLD) severity, we aimed to deve...

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Detalles Bibliográficos
Autores principales: Li, Gang, Zheng, Tian-Lei, Chi, Xiao-Ling, Zhu, Yong-Fen, Chen, Jin-Jun, Xu, Liang, Shi, Jun-Ping, Wang, Xiao-Dong, Zhao, Wei-Guo, Byrne, Christopher D., Targher, Giovanni, Rios, Rafael S., Huang, Ou-Yang, Tang, Liang-Jie, Zhang, Shi-Jin, Geng, Shi, Xiao, Huan-Ming, Chen, Sui-Dan, Zhang, Rui, Zheng, Ming-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432286/
https://www.ncbi.nlm.nih.gov/pubmed/37600991
http://dx.doi.org/10.21037/hbsn-21-523

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432286/
https://www.ncbi.nlm.nih.gov/pubmed/37600991
http://dx.doi.org/10.21037/hbsn-21-523

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