SHAP Feature Importance: Mean Absolute SHAP Values in the XGBoost Final Model for Predicting MASLD.

<p>SHAP Feature Importance: Mean Absolute SHAP Values in the XGBoost Final Model for Predicting MASLD.</p>

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Bibliographic Details
Main Author:	Yong Zhang (5893) (author)
Other Authors:	Xiang Liu (119470) (author), Xingqiang Zhang (22608002) (author), Yangfan Fei (22608005) (author), Xiaoxu Li (12771) (author)
Published:	2025
Subjects:	Biotechnology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified twelve key features shap plot analysis recursive feature elimination nutrition examination survey frequent alcohol consumption five algorithms revealed facilitate early diagnosis clinical early identification affecting approximately 25 2017 &# 8211 2020 national health refine masld prevention build prediction models xlink "> comparison study included 9 assessing masld risk reliable prediction model xgboost algorithm performed data </ p xlink "> xgboost algorithm ultimately included study aims risk populations public health model showed model achieved based prediction waist circumference testing sets testing set significant threat rf ), random forest pivotal role obesity rates missing data metabolic dysfunction machine learning logistic regression liver cancer lifestyle changes hepatitis b global population global increase factors played excluding individuals driven support discriminative ability c infection
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