Sex-specific machine learning models for carotid plaque prediction in individuals with fatty liver disease: a cross-sectional study

Our findings highlight significant sex differences in practical carotid plaque prediction, providing crucial insights for public health implications in the early identification and risk assessment of carotid plaque among individuals with fatty liver.

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Publication Details

Journal
BMJ Open
Published
2026-01-01
DOI
https://doi.org/10.1136/bmjopen-2025-100402
Primary Topic
Cardiovascular Health and Disease Prevention
Type
article
Field-Weighted Citation Impact
0.00

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article

Sex-specific machine learning models for carotid plaque prediction in individuals with fatty liver disease: a cross-sectional study

Y M Wang, Donghua Yin, Hong Wang, Hongli Yin et al.
BMJ Open
Cardiovascular Health and Disease Prevention
article

Sex-specific machine learning models for carotid plaque prediction in individuals with fatty liver disease: a cross-sectional study

Y M Wang, Donghua Yin, Hong Wang, Hongli Yin, Juan Yang, Yang Cheng, Hui Zheng
article en

Abstract

Our findings highlight significant sex differences in practical carotid plaque prediction, providing crucial insights for public health implications in the early identification and risk assessment of carotid plaque among individuals with fatty liver.

BMJ OpenVol. 16(1)
Jiangsu Province Hospital (CN)
Government of Jiangsu Province
Good health and well-being
Openalex Percentile: Top 93%
Cardiovascular Health and Disease Prevention
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