Choix occupationnels et espérance de vie : une analyse par l'approche des données massives

Authors: Pageau, Jasmine
Advisor: Lacroix, GuyBissonnette, Luc
Abstract: In this thesis, we try to assess the impact of occupational choice on life expectancy using machine learning techniques. We use Conditional Inference Trees (CTree) to obtain Kaplan- Meier survival curves that enable us to predict mortality rates regarding the influential sociodemographic features. Using the Québec and Ontario data from the 1991 census merged with the Canadian Mortality Database from 1991 to 2006, we observe a correlation between occupational choice and life expectancy for particular groups. As it was expected, we find that the primary predictor of life expectancy is the person’s sex. Education and Canadian-born status are respectively the most influential variable for men and women of both provinces
Document Type: Mémoire de maîtrise
Issue Date: 2019
Open Access Date: 2 March 2019
Grantor: Université Laval
Collection:Thèses et mémoires

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