L’application de l’intelligence artificielle dans le domaine pharmaceutique : la pharmacovigilance des corticoïdes dans la région de Sétif

Abstract

Our work focuses on the different development strategies of pharmacy following new technologies, of which artificial intelligence has a large role in medical and pharmaceutical practice. The objective of this thesis is to assess the use of artificial intelligence, to promote it and to estimate its impact in pharmacovigilance as an example. We performed a survey through an investigative questionnaire as part of pharmacovigilance on the side effects of corticosteroids as an example, intended for the population of the region of SETIF, male and female, and of different age groups, in a period of 21 days, according to two methods: self-administered method (Online), and assisted method, we have been able to collect 150 responses, then we classified them in a summary table; Using RNA artificial intelligence software, we process these results, with 8 inputs (age, sex, geographic area, etc.) and one output (degree of adverse effect), each input or output variable is coded as a digital variable. Once the base of the rules is established, it becomes possible to instantly read the degree of adverse effects of corticosteroids; the result is the collaboration of the set of rules that support all the input variables. This tool can be considered as an aid to doctors and pharmacists in the prevention of side effects of corticosteroids.