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Classification of the Severity of Adverse Drugs Reactions
Raphaël Chauvet, Cédric Bousquet, Agnès Lillo-Lelouet, Ilan Zana, Ilan Ben Kimoun, Marie-Christine Jaulent
1227 - 1228
10.3233/SHTI200375
Research Article
Studies in Health Technology and Informatics
Volume 270: Digital Personalized Health and Medicine
Abstract

This poster presents a non-exhaustive study of machine learning classification algorithms on pharmacovigilance data. In this study, we have taken into account the patient’s clinical data such as medical history, medications taken and their indications for prescriptions, and the observed side effects. From these elements we determine whether the patient case is considered serious or not. We show the performances of the different algorithms by their precision, recall and accuracy as well as their learning curves.

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