Article info

Clusters of people with type 2 diabetes in the general population: unsupervised machine learning approach using national surveys in Latin America and the Caribbean

Authors

  • Rodrigo M Carrillo-Larco Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UKCRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, PeruUniversidad Católica Los Ángeles de Chimbote, Instituto de Investigación, Chimbote, Peru PubMed articlesGoogle scholar articles
  • Manuel Castillo-Cara Center of Information and Communication Technologies, Universidad Nacional de Ingeniería, Lima, Peru PubMed articlesGoogle scholar articles
  • Cecilia Anza-Ramirez CRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru PubMed articlesGoogle scholar articles
  • Antonio Bernabé-Ortiz CRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, PeruUniversidad Científica del Sur, Lima, Peru PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Rodrigo M Carrillo-Larco; rcarrill{at}ic.ac.uk
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Citation

Carrillo-Larco RM, Castillo-Cara M, Anza-Ramirez C, et al
Clusters of people with type 2 diabetes in the general population: unsupervised machine learning approach using national surveys in Latin America and the Caribbean

Publication history

  • Received September 7, 2020
  • Revised November 24, 2020
  • Accepted December 20, 2020
  • First published January 29, 2021.
Online issue publication 
January 29, 2021

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