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

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

ObjectiveTo develop a machine learning (ML) model utilizing transfer learning (TL) techniques to predict hypertension in children and adolescents across South America.MethodsData from two cohorts (children and adolescents) in seven South American cities were analyzed. A TL strategy was implemented b...

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Bibliographic Details
Main Authors: Keisyanne Araujo-Moura, Letícia Souza, Tiago Almeida de Oliveira, Mateus Silva Rocha, Augusto César Ferreira De Moraes, Alexandre Chiavegatto Filho
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:International Journal of Public Health
Subjects:
hypertension
machine learning
children
adolescents
public health
Online Access:https://www.ssph-journal.org/articles/10.3389/ijph.2025.1607944/full
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https://www.ssph-journal.org/articles/10.3389/ijph.2025.1607944/full

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