An innovative method to estimate lifetime prevalence of carcinogenic occupational circumstances: the example of painters and workers of the rubber manufacturing industry in France.

Claire Marant-MicallefAdèle PaulHadrien CharvatJérôme VignatMarie HouotCorinne PilorgetKurt StraifMounia El YamaniIsabelle Soerjomataram

Published in: Journal of exposure science & environmental epidemiology (2020)

Based on accurate data and taking into account evolution of specific jobs over time, the proposed method provides good estimates of lifetime prevalence of exposure to occupational carcinogens. It could be applied in any other country with similar data.

Keyphrases

risk factors
electronic health record
big data
high resolution
machine learning
artificial intelligence