Does machine learning have a high performance to predict obesity among adults and older adults? A systematic review and meta-analysis.

Journal: Nutrition, metabolism, and cardiovascular diseases : NMCD
PMID: 39004592

Abstract

AIM: Machine learning may be a tool with the potential for obesity prediction. This study aims to review the literature on the performance of machine learning models in predicting obesity and to quantify the pooled results through a meta-analysis.

Authors

  • Felipe Mendes Delpino
    Universidade Federal de Pelotas - Pelotas (RS), Brazil.
  • Ândria Krolow Costa
    Universidade Federal de Pelotas - Pelotas (RS), Brazil.
  • Murilo César do Nascimento
    Postgraduate Program in Public Health Nursing, University of São Paulo, Ribeirão Preto, Brazil.
  • Heriederson Sávio Dias Moura
    Postgraduate Program in Public Health Nursing, University of São Paulo, Ribeirão Preto, Brazil.
  • Hellen Geremias Dos Santos
    University of São Paulo, Faculty of Public Health, São Paulo, São Paulo, Brazil.
  • Roberta Moreira Wichmann
    University of São Paulo, Faculty of Public Health, São Paulo, São Paulo, Brazil.
  • Alexandre Dias Porto Chiavegatto Filho
    Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, Brasil.
  • Ricardo Alexandre Arcêncio
    Universidade de São Paulo - Ribeirão Preto (SP), Brazil.
  • Bruno Pereira Nunes
    Universidade Federal de Pelotas - Pelotas (RS), Brazil.

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