Prediction of Cardiovascular Risk Using Machine Learning Based on Maximal Oxygen Consumption , Physical Fitness, and Anthropometry

Documenti analoghi

• Anthropometry for predicting cardiometabolic disease risk factors in adolescents
  di: Luyu Xie, et al.
  Pubblicazione: (2024)
• Adolescents' chronotype and its association with obesity‐related outcomes: The EHDLA study
  di: Miguel Angelo Duarte Junior, et al.
  Pubblicazione: (2024)
• Anthropometry and Body Composition in Childhood: Follow‐Up of a Randomised, Double‐Blinded Controlled Trial With a Modified, Low‐Protein Infant Formula During Infancy
  di: Jacqueline Muts, et al.
  Pubblicazione: (2025)
• Associations of Fitness, Fatness Indices and Fit–Fat Index Variants With Cardiovascular and All‐Cause Mortality in Men
  di: Nzechukwu M. Isiozor, et al.
  Pubblicazione: (2026)
• Prevalence of cardiovascular risk factors according to Life's Essential 8 in children and adolescents during the COVID‐19 pandemic: A systematic review and meta‐analysis including 1 526 173 participants from 42 countries
  di: Rodrigo Núñez‐Cortés, et al.
  Pubblicazione: (2024)