Smooth curve fitting in subgroup.
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posted on 2025-03-18, 17:38 authored by Liyu Lin, Yirui Xie, Zhuangteng Lin, Cuiyan Lin, Yichun YangThe variations in NHHR and CAP were sequentially displayed across subgroups divided by gender, age, race, PIR, educational level, BMI, diabetes, and hypertension, different colored curves were employed to represent distinct groups within the population.
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xgboost algorithm exhibitedsignificant positive correlationshapley additive explanationsrestricted cubic splineslt ;&# 8201density lipoprotein cholesterolcontrolled attenuation parametercommon hepatic disorderbeta =&# 8201svm ), khighest predictive performancebmi ), highlightingsupport vector machinexgboost predictive modelsubgroup analyses indicatedsmooth curve fittingxlink "> metabolicmafld using nhhrxlink ">subgroup analysespredictive modelknn ),machine learningprediction modelvaluable toolstudy aimspredicting metabolicnhanes cohortnearest neighborsmarch 2020logistic regressionlinear associationincreasing prevalenceimportant featureidentify variationsearly detectionadjusted variables001 ).
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