Article info

Original research
Phenotypes of non-alcoholic fatty liver disease (NAFLD) and all-cause mortality: unsupervised machine learning analysis of NHANES III

Authors

  • Rodrigo M Carrillo-Larco Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UKHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USACRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, PeruUniversidad Continental, Lima, Peru PubMed articlesGoogle scholar articles
  • Wilmer Cristobal Guzman-Vilca CRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, PeruSchool of Medicine Alberto Hurtado, Universidad Peruana Cayetano Heredia, Lima, PeruSociedad Científica de Estudiantes de Medicina Cayetano Heredia (SOCEMCH), Universidad Peruana Cayetano Heredia, Lima, Peru PubMed articlesGoogle scholar articles
  • Manuel Castillo-Cara Ontology Engineering Group, Artificial Intelligence Department, Universidad Politécnica de Madrid, Madrid, Spain PubMed articlesGoogle scholar articles
  • Claudia Alvizuri-Gómez Department of Gastroenterology, Hospital Nacional Cayetano Heredia, Lima, Peru PubMed articlesGoogle scholar articles
  • Saleh Alqahtani King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi ArabiaDivision of Gastroenterology and Hepatology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA PubMed articlesGoogle scholar articles
  • Vanessa Garcia-Larsen Program in Human Nutrition, Department of International Health, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Vanessa Garcia-Larsen; vgla{at}jhu.edu
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Citation

Carrillo-Larco RM, Guzman-Vilca WC, Castillo-Cara M, et al
Phenotypes of non-alcoholic fatty liver disease (NAFLD) and all-cause mortality: unsupervised machine learning analysis of NHANES III

Publication history

  • Received August 8, 2022
  • Accepted November 7, 2022
  • First published November 23, 2022.
Online issue publication 
December 29, 2023
  • Supplementary Data

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