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

Atsawarungruangkit, Amporn; Laoveeravat, Passisd; Promrat, Kittichai

Atsawarungruangkit, Amporn; Laoveeravat, Passisd; Promrat, Kittichai.

Afiliação

Atsawarungruangkit A; Division of Gastroenterology, Warren Alpert Medical School, Brown University, Providence, RI 02903, United States. amporn_atsawarungruangkit@brown.edu.
Laoveeravat P; Division of Digestive Diseases and Nutrition, University of Kentucky College of Medicine, Lexington, KY 40536, United States.
Promrat K; Division of Gastroenterology, Warren Alpert Medical School, Brown University, Providence, RI 02903, United States.

World J Hepatol ; 13(10): 1417-1427, 2021 Oct 27.

Article em En | MEDLINE | ID: mdl-34786176

Palavras-chave

Artificial intelligence; Fatty liver; Machine learning; NHANES; Non-alcoholic fatty liver disease; United States population

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: World J Hepatol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

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