Sex-specific machine learning models improved the prediction of carotid plaque risk in individuals with fatty liver disease compared to generic models.
Sex-specific machine learning models using routine clinical and laboratory data can accurately predict the presence of carotid plaque in adults with fatty liver disease, with better discrimination observed in females.
Absolute Event Rate: 0% vs 0%
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.
Cheng et al. (Thu,) reported a other. Sex-specific machine learning models improved the prediction of carotid plaque risk in individuals with fatty liver disease compared to generic models.