Huvudbild för Vitalis 2023
  1. Vitalis 2023
  2. Programpunkter
  3. Model and strategy for predicting and discovering drug-drug interactions
Profilbild för Model and strategy for predicting and discovering drug-drug interactions

Model and strategy for predicting and discovering drug-drug interactions Har passerat

Torsdag 25 maj 2023 13:30 - 13:45 G3

Föreläsare: Abdelmalek MOUAZER, Nada Ikram BOUDEGZDAME

Spår: MIE: Knowledge and Information representation and modeling

Språk

English

Seminarietyp

Enbart på plats

Kunskapsnivå

Avancerad

Konferens

MIE

Författare

Abdelmalek Mouazer, Nada BOUDEGZDAME, Karima SEDKI, Rosy TSOPRA, Jean-Baptise LAMY

DOI

https://dx.doi.org/10.3233/SHTI230248

Föreläsare

Profilbild för Abdelmalek MOUAZER

Abdelmalek MOUAZER Föreläsare

PHD student in biomedical infirmatics
Sorbonne Paris Nord University

PHD student in biomedical infirmatics, I develop a decision support system for the management of the polypharmacy treatment of the elderly patient

Profilbild för Nada Ikram BOUDEGZDAME

Nada Ikram BOUDEGZDAME Föreläsare

PhD Student
LIMICS


I am currently pursuing my PhD at LIMICS, where I am focused on contextual preference learning methods and their application to medication deprescription. Specifically, my research involves leveraging deep learning techniques to analyze medical data, which is notoriously challenging due to its complexity and variability.