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Intelligent Health Referral Model using Hybrid Recommender System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 185 - Number 22 |
| Year of Publication: 2023 |
| Authors: Amobi Henry Mini, Igbudu Kingsley Ezebunwo, Wisdom Ebubechi Mini, Obot Israel Emaekop |
10.5120/ijca2023922963
|
Amobi Henry Mini, Igbudu Kingsley Ezebunwo, Wisdom Ebubechi Mini, Obot Israel Emaekop . Intelligent Health Referral Model using Hybrid Recommender System. International Journal of Computer Applications. 185, 22 ( Jul 2023), 13-17. DOI=10.5120/ijca2023922963
Abstract
A health referral model using hybrid recommender system is a research work that will help build an effective information management for patient and doctors. The involvement of information technology is essential to guide people to find a Specialist (doctor) with whom they can build trust and confidence to discus personnel health issues with and medical treatment within locality. The increase in sickness and diseases has left several people helpless with no one to give a good suggestion on where to go and who to meet for solution and this has made Patients to sort for specialist Doctors in wrong places and hospitals, which has cost several patients a waste of time, money, and even loss of life. Hybrid recommender was applied . Hybrid recommender apply techniques that can filter information and narrow that information down based on user preferences or user needs and help users choose what information is relevant The methodology adapted was Object Oriented Analysis, Prototype Design Specification and Unified modeling language as the design tool. In this project, we developed a Doctors-to-Patients Recommender system using a hybridized algorithm. The referral process is done based on doctor specialization. The doctor have to enter is profit including the current place of work and pass achievement, the system will use it to automatically referral a patient that have that illness to that specialist. The Content-based filtering and Success Credibility Score model to ensure credible recommendations of Doctors to Patients. the implemented was done with hyper preprocessing language, JavaScript, Json and hyper text make-up language with the Apache web server to manage the Database developed using MySql. In the system 50 patient visit the site and the system was able to referral 46 to a specialist at different time interval. The result of the system has prove that hybrid recommender model is accurate and credible to referral patient to Specialist Doctors and the result shows that Patients can effectively be guided on the choice of specialist for consultations. In deduction, this study offers tools for assessing the performance of patient to doctor activity which are useful for both hospital management and healthcare administration
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