The role of various physiological and bioelectrical parameters for estimating the weight status in infants and juveniles cohort from the Southern Cuba region: a machine learning study.

Journal: BMC pediatrics
PMID: 38711132

Abstract

OBJECTIVE: The search for other indicators to assess the weight status of individuals is important as it may provide more accurate information and assist in personalized medicine.This work is aimed to develop a machine learning predictions of weigh status derived from bioimpedance measurements and other physical parameters of healthy infant juvenile cohort from the Southern Cuba Region, Santiago de Cuba.

Authors

  • Taira Batista Luna
    Autonomous University of Santo Domingo (UASD), UASD Nagua Center, Santo Domingo, Dominican Republic. tbatista12@uasd.edu.do.
  • Jose Luis García Bello
    Autonomous University of Santo Domingo (UASD), San Francisco de Macorís Campus, Santo Domingo, Dominican Republic.
  • Agustín Garzón Carbonell
    National Center for Applied Electromagnetism (CNEA), Universidad de Oriente CP 90500, Santiago de Cuba, Cuba.
  • Ana de la Caridad Román Montoya
    Autonomous University of Santo Domingo (UASD), UASD Nagua Center, Santo Domingo, Dominican Republic.
  • Alcibíades Lara Lafargue
    National Center for Applied Electromagnetism (CNEA), Universidad de Oriente CP 90500, Santiago de Cuba, Cuba.
  • Héctor Manuel Camué Ciria
    National Center for Applied Electromagnetism (CNEA), Universidad de Oriente CP 90500, Santiago de Cuba, Cuba.
  • Yohandys A Zulueta
    Departamento de Física, Facultad de Ciencias Naturales y Exactas, Universidad de Oriente, Santiago de Cuba, CP 90500, CP, Cuba. yzulueta@uo.edu.cu.

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