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Development of a User-Friendly Self-Screening Tool for Assessing Metabolic Syndrome Risk in Youths from Economically Challenged Regions.

Jacqueline Fernandes de Sa XavierShirley C FeuersteinAugusto Cesar Ferreira De MoraesTiago Almeida de OliveiraEvellyn Ravena da Silva GomesMaria Isabela Alves de Almeida SilvaLuiz Fernando de OliveiraHeraclito Barbosa de CarvalhoKliver Antonio MarinMarcus Vinicius Nascimento-Ferreira
Published in: Journal of personalized medicine (2024)
User-friendly self-reported data accurately predict metabolic syndrome among youths from economically challenging areas.
Keyphrases
  • metabolic syndrome
  • insulin resistance
  • uric acid
  • low cost
  • cardiovascular risk factors
  • electronic health record
  • big data
  • type diabetes
  • machine learning
  • adipose tissue
  • deep learning