A Novel Dataset for Early Cardiovascular Risk Detection in School Children Using Machine Learning

A Novel Dataset for Early Cardiovascular Risk Detection in School Children Using Machine Learning

This study introduces the PROCDEC dataset, a novel collection of 1140 cases with 30 cardiovascular risk factors gathered over a 10-year period from school children in Santa Clara, Cuba. The dataset was curated with input from medical experts in pediatric cardiology, endocrinology, general medicine,...

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Bibliographic Details
Main Authors: Rafael Alejandro Olivera Solís, Emilio Francisco González Rodríguez, Roberto Castañeda Sheissa, Juan Valentín Lorenzo-Ginori, José García
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Technologies
Subjects:
cardiovascular risk
children
dataset
machine learning (ML)
Online Access:https://www.mdpi.com/2227-7080/13/6/222
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