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Wellcome Open Research|June 30, 2020
Using country-level variables to classify countries according to the number of confirmed COVID-19 cases: An unsupervised machine learning approachRodrigo M Carrillo-Larco, Manuel Castillo-CaraWellcome Open Research|February 11, 2025
Government plans in the 2016 and 2021 Peruvian presidential elections: A natural language processing analysis of the health chaptersRodrigo M Carrillo-Larco, Manuel Castillo-Cara, Jesús Lovón-MelgarejoElife|January 5, 2022
Development, validation, and application of a machine learning model to estimate salt consumption in 54 countriesWilmer Cristobal Guzman-Vilca, Manuel Castillo-Cara, Rodrigo M Carrillo-LarcoBMJ Open|September 19, 2022
Street images classification according to COVID-19 risk in Lima, Peru: a convolutional neural networks feasibility analysisRodrigo M Carrillo-Larco, Manuel Castillo-Cara, Jose Francisco Hernández Santa CruzBMJ Open Diabetes Research & Care|January 30, 2021
Clusters of people with type 2 diabetes in the general population: unsupervised machine learning approach using national surveys in Latin America and the CaribbeanRodrigo M Carrillo-Larco, Manuel Castillo-Cara, Cecilia Anza-Ramirez, et al.Sensors (Basel, Switzerland)|June 8, 2017
An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization MechanismsManuel Castillo-Cara, Jesús Lovón-Melgarejo, Gusseppe Bravo-Rocca, et al.Primary Care Diabetes|April 15, 2024
A multimodal approach using fundus images and text meta-data in a machine learning classifier with embeddings to predict years with self-reported diabetes - An exploratory analysisRodrigo M Carrillo-Larco, Gusseppe Bravo-Rocca, Manuel Castillo-Cara, et al.BMJ Open|November 23, 2022
Phenotypes of non-alcoholic fatty liver disease (NAFLD) and all-cause mortality: unsupervised machine learning analysis of NHANES IIIRodrigo M Carrillo-Larco, Wilmer Cristobal Guzman-Vilca, Manuel Castillo-Cara, et al.Pageof 1