Performance of models by different algorithms.

<div><p>Objective</p><p>With the global increase in obesity rates and lifestyle changes, metabolic dysfunction-associated steatotic liver disease (MASLD) has become a prevalent chronic liver disorder, affecting approximately 25% of the global population. This disease can prog...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Yong Zhang (5893) (author)
مؤلفون آخرون:	Xiang Liu (119470) (author), Xingqiang Zhang (22608002) (author), Yangfan Fei (22608005) (author), Xiaoxu Li (12771) (author)
منشور في:	2025
الموضوعات:	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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Performance of models by different algorithms.

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