Prediction of Hypertension in the Pediatric Population Using Machine Learning and Transfer Learning: A Multicentric Analysis of the SAYCARE Study.

Journal: International journal of public health
PMID:

Abstract

OBJECTIVE: To develop a machine learning (ML) model utilizing transfer learning (TL) techniques to predict hypertension in children and adolescents across South America.

Authors

  • Keisyanne Araujo-Moura
    Department of Epidemiology, School of Public Health, University of São Paulo, São Paulo, Brazil.
  • Letícia Souza
    Department of Epidemiology, School of Public Health, University of São Paulo, São Paulo, Brazil.
  • Tiago Almeida de Oliveira
    School of Public Health, University of São Paulo, São Paulo, SP, Brazil.
  • Mateus Silva Rocha
    Department of Statistic, State University of Paraíba, Campina Grande, Paraíba, Brazil.
  • Augusto César Ferreira De Moraes
    School of Public Health in Austin, Department of Epidemiology, Michael and Susan Dell Center for Healthy Living, Texas Physical Activity Research Collaborative (Texas PARC), University of Texas Health Science Center at Houston, Houston, TX, United States.
  • Alexandre Chiavegatto Filho
    Department of Epidemiology, School of Public Health, University of São Paulo, São Paulo, Brazil.