Veuillez utiliser cette adresse pour citer ce document : http://dspace.univ-tiaret.dz:80/handle/123456789/16883
Titre: Developing a Drug Recommendation System: Design, Implementation and Evaluation
Auteur(s): BARIK, Mohamed
LASFER, Yaaqoub
Mots-clés: Recommender System
Healthcare
Drug Recommendation System
Neural Collaborative Filtering,
Date de publication: 16-jui-2025
Editeur: University of Ibn Khaldoun Tiaret
Résumé: The choice of the right drug remains a complex decision for physicians,despite floods of patient data and continuously growing drug lists.We see recommendation systems helping in many online spaces.But when it comes to health,especially drug choices,these systems need to be much alert.Many current drug recommendation systems face problems and challenges.This turns their suggestions to be not precise or clinically helpful as they could be. This research addresses precisely these issues,by building a new kind of drug recommendation system, rooted in dee learning.By adopting the highly regarded Neural Collaborative Filtering
URI/URL: http://dspace.univ-tiaret.dz:80/handle/123456789/16883
Collection(s) :Master

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