Results of subgroup analysis.

<div><p> Objective </p><p>Metabolic - associated fatty liver disease (MAFLD) is a common hepatic disorder with increasing prevalence, and early detection remains inadequately achieved. This study aims to explore the relationship between the non-high-density lipoprotein choles...

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Main Author:	Liyu Lin (5760167) (author)
Other Authors:	Yirui Xie (10027797) (author), Zhuangteng Lin (20896587) (author), Cuiyan Lin (19533025) (author), Yichun Yang (10915422) (author)
Published:	2025
Subjects:	Biochemistry Cell Biology Genetics Molecular Biology Biotechnology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xgboost algorithm exhibited significant positive correlation shapley additive explanations restricted cubic splines lt ;&# 8201 density lipoprotein cholesterol controlled attenuation parameter common hepatic disorder beta =&# 8201 svm ), k highest predictive performance bmi ), highlighting support vector machine xgboost predictive model subgroup analyses indicated smooth curve fitting xlink "> metabolic mafld using nhhr xlink "> subgroup analyses predictive model knn ), machine learning prediction model valuable tool study aims predicting metabolic nhanes cohort nearest neighbors march 2020 logistic regression linear association increasing prevalence important feature identify variations early detection adjusted variables 001 ).
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Results of subgroup analysis.

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