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

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

Publikováno v: British Journal of Nutrition, 124(6):0007114520001439, 611-619. Cambridge University Press
Br J Nutr
The British journal of nutrition, vol 124, iss 6

At present, analysis of diet and bladder cancer (BC) is mostly based on the intake of individual foods. The examination of food combinations provides a scope to deal with the complexity and unpredictability of the diet and aims to overcome the limita

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4461ed08eab46e525dfcfa6ba7a5c73
https://doi.org/10.1017/s0007114520001439