ISSN : 2583-2646

Health-Care Recommender System Using Collaborative Filtering Algorithm

ESP Journal of Engineering & Technology Advancements
© 2023 by ESP JETA
Volume 3  Issue 2
Year of Publication : 2023
Authors : Ubani Chinyere, Mark Uvietesiri, Syvester Akhetuamen, Morgan Obi
:10.56472/25832646/JETA-V3I5P103

Citation:

Ubani Chinyere, Mark Uvietesiri, Syvester Akhetuamen, Morgan Obi, 2023. "Health-Care Recommender System Using Collaborative Filtering Algorithm" ESP Journal of Engineering & Technology Advancements  3(2): 59-64.

Abstract:

Presently, there are thousands of hospitals offering several types of services to patients. It becomes challenging for a patient to make an informed decision on which hospital to visit for treatment for a particular ailment. Recommender systems have been used in diverse areas to solve the problem of decision making by providing several options for users based on certain attributes of the user that are similar to that of other users with similar attributes. In this work, we design a system that will recommend hospital for sick patient using collaborative filtering algorithm. It is aimed that the system will enhance proper recommendation of hospitals for patients to get the best possible care required for presented ailments. Hence, the need to filter, prioritize and efficiently deliver relevant information using recommender systems. We design and develop a recommendation model that uses object-oriented analysis and design methodology (OOADM). The system was implemented using PHP, MYSQL and AJAX technology.

References:

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Keywords:

Architecture, Assumptions, Content-based, Dataset, Euclidean distance, Hybrid, Interface, Manhattan distance, Recommendation.