A data mining approach to investigate food groups related to incidence of bladder cancer in the BLadder cancer Epidemiology and Nutritional Determinants International Study

Evan Y. W. Yu, Anke Wesselius*, Christoph Sinhart, Alicja Wolk, Mariana Carla Stern, Xuejuan Jiang, Li Tang, James Marshall, Eliane Kellen, Piet van den Brandt, Chih-Ming Lu, Hermann Pohlabeln, Gunnar Steineck, Mohamed Farouk Allam, Margaret R. Karagas, Carlo La Vecchia, Stefano Porru, Angela Carta, Klaus Golka, Kenneth C. JohnsonSimone Benhamou, Zuo-Feng Zhang, Cristina Bosetti, Jack A. Taylor, Elisabete Weiderpass, Eric J. Grant, Emily White, Jerry Polesel, Maurice P. A. Zeegers

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Article number0007114520001439
Pages (from-to)611-619
Number of pages9
JournalBritish Journal of Nutrition
Volume124
Issue number6
DOIs
Publication statusPublished - 28 Sep 2020

Keywords

  • Bladder cancer
  • Data mining
  • Food groups
  • Epidemiological studies
  • DIETARY PATTERNS
  • RISK-FACTORS
  • FLUID INTAKE
  • CONSUMPTION
  • VEGETABLES
  • FRUIT
  • POLYMORPHISMS
  • METAANALYSIS
  • SMOKING
  • SYSTEM

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