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Dietary patterns associated with the incidence of hypertension among adult Japanese males: application of machine learning to a cohort study.

Longfei LiHaruki MommaHaili ChenSaida Salima NawrinYidan XuHitoshi InadaRyoichi Nagatomi
Published in: European journal of nutrition (2024)
This study finds that relative to the 'Seafood and Alcohol' pattern, the 'Dairy/vegetable-based' and 'Meat-based' dietary patterns are associated with a lower risk of hypertension among men.
Keyphrases
  • blood pressure
  • machine learning
  • risk factors
  • artificial intelligence
  • middle aged
  • big data
  • arterial hypertension
  • young adults