Screening New Blood Indicators for Non-alcoholic Fatty Liver Disease (NAFLD) Diagnosis of Chinese Based on Machine Learning

BackgroundThe prevalence of NAFLD is increasing annually. The early diagnosis and control are crucial for the disease. Currently, metabolic indicators are always used clinically as an auxiliary diagnosis of NAFLD. However, the prevalence of NAFLD is not only increased in obese/metabolic-disordered p...

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Autori principali:	Cheng Wang, Junbin Yan, Shuo Zhang, Yiwen Xie, Yunmeng Nie, Zhiyun Chen, Sumei Xu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2022-06-01
Serie:	Frontiers in Medicine
Soggetti:	non-alcoholic fatty liver disease (NAFLD) TPA PAI-1 machine learning support vector machine (SVM) predictive model
Accesso online:	https://www.frontiersin.org/articles/10.3389/fmed.2022.771219/full
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