An Enhanced Hybridized Model for Recommender System in Healthcare

International Journal of Computer Trends and Technology (IJCTT)          
© 2017 by IJCTT Journal
Volume-47 Number-4
Year of Publication : 2017
Authors : Ejiofor C.I.,Ruth Ofoh
DOI :  10.14445/22312803/IJCTT-V47P134


Ejiofor C.I.,Ruth Ofoh "An Enhanced Hybridized Model for Recommender System in Healthcare". International Journal of Computer Trends and Technology (IJCTT) V47(4):213-218, May 2017. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
One of the concerns patients have when confronted with a medical condition is which physician to trust. There are several people in need of healthcare all over the world that does not know who to call and where to go. Patients in different hospitals had sorted for specialist Doctors in wrong places and hospitals. This has cost several patients a waste of time, money, and even lost of life. The involvement of modern technology is necessary to guide people to find a Specialist with whom they can build confidence and reliable relationships leading to a good healthcare system in Nigeria. The purpose of this project is to develop a Doctors-to-Patients Recommender system using a Content-based filtering and Success credibility score model.Object-Oriented Analysis and Design Methodologywas used and was implemented with PHP programming language with the Apache web server to manage the Database developed using MySql. The system was able to give credible and accurate recommendations.

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