Abstract
The study of health at the population level is currently undergoing profound changes due to the combination of several phenomena: the availability of medico-administrative databases covering entire populations; the establishment of very large epidemiological cohorts in the general population; and the development of new analytical methods based on artificial intelligence.
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Notes
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The Constances cohort is funded by the ANR (ANR-11-INBS-0002).
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Zins M, Goldberg M, the Constances team, “The French CONSTANCES population-based cohort: Design, inclusion and follow-up,” Eur J Epidemiology, 2015, 30, 1317–1328.
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Melchior M., Ziad A., Courtin E., Zins M., van der Waerden J., “Intergenerational socioeconomic mobility and adult depression: The CONSTANCES study,” Am J Epidemiol., 2018, février; 187(2), pp. 260–269.
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Goldberg M., Carton M., Doussin A., Fagot-Campagna A., Heyndrickx E., LeMaitre M., Nicolau J., Quantin C., “The REDSIAM network,” Rev Epidemiol Sante Publique, October 2017, 65, suppl. 4, S144–S148.
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Zins, M., Goldberg, M. (2020). Linking an Epidemiological Cohort to Medicoadministrative Databases. In: Nordlinger, B., Villani, C., Rus, D. (eds) Healthcare and Artificial Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-32161-1_5
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DOI: https://doi.org/10.1007/978-3-030-32161-1_5
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