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Enjeux et place des data sciences dans le champ de la réutilisation secondaire des données massives cliniques : une approche basée sur des cas d’usage

Abstract : The dematerialization of health data, which started several years ago, now generates na huge amount of data produced by all actors of health. These data have the characteristics of being very heterogeneous and of being produced at different scales and in different domains. Their reuse in the context of clinical research, public health or patient care involves developing appropriate approaches based on methods from data science. The aim of this thesis is to evaluate, through three use cases, what are the current issues as well as the place of data sciences regarding the reuse of massive health data. To meet this objective, the first section exposes the characteristics of health big data and the technical aspects related to their reuse. The second section presents the organizational aspects for the exploitation and sharing of health big data. The third section describes the main methodological approaches in data sciences currently applied in the field of health. Finally, the fourth section illustrates, through three use cases, the contribution of these methods in the following fields: syndromic surveillance, pharmacovigilance and clinical research. Finally, we discuss the limits and challenges of data science in the context of health big data.
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Submitted on : Monday, February 3, 2020 - 3:18:09 PM
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Guillaume Bouzillé. Enjeux et place des data sciences dans le champ de la réutilisation secondaire des données massives cliniques : une approche basée sur des cas d’usage. Médecine humaine et pathologie. Université Rennes 1, 2019. Français. ⟨NNT : 2019REN1B023⟩. ⟨tel-02464848⟩

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