Open AccessMachine learning models for predicting non-alcoholic fatty liver disease in the general United States population: NHANES database
Author(s) -
Amporn Atsawarungruangkit,
Passisd Laoveeravat,
Kittichai Promrat
Publication year - 2021
Publication title -
world journal of hepatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 55
ISSN - 1948-5182
DOI - 10.4254/wjh.v13.i10.1417
Subject(s) - medicine , machine learning , fatty liver , random forest , artificial intelligence , undersampling , population , decision tree , liver disease , ensemble learning , disease , computer science , environmental health