Machine learning models for predicting non-alcoholic fatty liver disease in the general United States population: NHANES database

BACKGROUNDNon-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease, affecting over 30% of the United States population. Early patient identification using a simple method is highly desirable. AIMTo create machine learning models for predicting NAFLD in the general United St...

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Veröffentlicht in:	World journal of hepatology 2021-10, Vol.13 (10), p.1417-1427
Hauptverfasser:	Atsawarungruangkit, Amporn, Laoveeravat, Passisd, Promrat, Kittichai
Format:	Artikel
Sprache:	eng
Schlagworte:	Retrospective Study
Online-Zugang:	Volltext
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