Please use this identifier to cite or link to this item: http://dspace.univ-tiaret.dz:80/handle/123456789/16883
Title: Developing a Drug Recommendation System: Design, Implementation and Evaluation
Authors: BARIK, Mohamed
LASFER, Yaaqoub
Keywords: Recommender System
Healthcare
Drug Recommendation System
Neural Collaborative Filtering,
Issue Date: 16-يون-2025
Publisher: University of Ibn Khaldoun Tiaret
Abstract: 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: http://dspace.univ-tiaret.dz:80/handle/123456789/16883
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