Biological age prediction and NAFLD risk assessment: a machine learning model based on a multicenter population in Nanchang, Jiangxi, China

This study provides a new model for biological age measurement in the Chinese population. There is a clear link between NAFLD and age acceleration.

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Publication Details

Journal
BMC Gastroenterology
Published
2025-03-13
DOI
https://doi.org/10.1186/s12876-025-03752-y
Citations
1
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.35

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article

Biological age prediction and NAFLD risk assessment: a machine learning model based on a multicenter population in Nanchang, Jiangxi, China

Weiming Lou, Hang Yuan, Qiangdong Liu, Libin Deng et al.
1 citations
BMC Gastroenterology
Liver Disease Diagnosis and Treatment
1.35
article

Biological age prediction and NAFLD risk assessment: a machine learning model based on a multicenter population in Nanchang, Jiangxi, China

Weiming Lou, Hang Yuan, Qiangdong Liu, Libin Deng, Li Deng, Xiaohong Xie, Song Li, Jing Huang, Xuyu Chen, Yang Yang, Ping Yu
article en
1 citations

Abstract

This study provides a new model for biological age measurement in the Chinese population. There is a clear link between NAFLD and age acceleration.

BMC GastroenterologyVol. 25(1)
Nanchang University (CN), Second Affiliated Hospital of Nanchang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 22%
Liver Disease Diagnosis and Treatment
1.35
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Biological age prediction and NAFLD risk assessment: a machine learning model based on a multicenter population in Nanchang, Jiangxi, China — Weiming Lou, Hang Yuan, et al. · BMC Gastroenterology (2025) | TGRS Research Map | TGRS