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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
The Constances cohort is funded by the ANR (ANR-11-INBS-0002).
- 2.
Tuppin P., Rudant J., Constantinou P., Gastaldi-Ménager C., Rachas A., de Roquefeuil L., Maura G., Stone H., Tajahmady A., Coste J., Gissot C., Weill A., Fagot-Campagna A., “Value of a national administrative database to guide public decisions: From the national interregime information system of l’Assurance maladie (SNIIRAM) to the système national des données de santé (SNDS) in France,” Rev Epidemiol Sante Publique, October 2017, 65, suppl. 4, S149–S167.
- 3.
- 4.
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.
- 5.
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.
- 6.
- 7.
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-32161-1_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32160-4
Online ISBN: 978-3-030-32161-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)