Generic Medicine Recommender System with Incorporated User Feedback
作者：
Shah S.;Naik V.;Mukhopadhyay D.;Roy S.
通讯作者：
Roy, S.
作者机构：
WIDiCoReL Research Lab, Mumbai, India
University of North Florida, Jacksonville, FL 32246, United States
Dr. Vishwanath Karad MIT World Peace University, Pune, India
通讯机构：
University of North FloridaUnited States
语种：
英文
关键词：
Generic Medicines,Recommendation Systems,User Feedback
期刊：
IFIP Advances in Information and Communication Technology
ISSN：
1868-422X
年：
2024
卷：
684 AICT
页码：
64-73
会议名称：
6th IFIP International Conference on Internet of Things, IFIP IoT 2023
会议时间：
2 November 2023 through 3 November 2023
基金类别：
The research has been supported in part by Fidelity National Financial Distinguished Professorship in CIS grant of S. Roy, 0583-5504-51.
摘要：
This paper presents the implementation of a Generic Medicine Recommender System (GMRS) that incorporates user feedback as a solution to streamline the selection process of appropriate generic medication and improve overall quality of healthcare. The study evaluates the suggestions given by the Generic Medicine Recommender System (GMRS), enhance the suggestions based on user input, and comprehend the influence of these suggestions on patient outcomes following the usage of generic medications. The results imply that the GMRS not only has the potential to enhance patient outcomes but can also give important information about the efficacy of various generic medications. The ...
