Artificial Intelligence-Based Hospital Recommendation System

Oluchukwu Uzoamaka Ekwealor, Chiemeka Prince Chukwudum, Chidi Ukamaka Betrand, Uchefuna Charles Ikenna and Charles Austeen Ibeh
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Oluchukwu Uzoamaka Ekwealor: Department of Computer Science, Nnamdi Azikiwe University, Awka, Nigeria
Chiemeka Prince Chukwudum: Department of Forensic Science, Nnamdi Azikiwe University, Awka, Nigeria
Chidi Ukamaka Betrand: Department of Computer Science, School of Information and Communication Technology, Federal University of Technology, Owerri, Nigeria
Uchefuna Charles Ikenna: Department of Computer Science, Federal Polytechnic, Oko, Nigeria
Charles Austeen Ibeh: Department of Forensic Science, Nnamdi Azikiwe University, Awka, Nigeria

International Journal of Research and Innovation in Applied Science, 2025, vol. 10, issue 4, 1216-1221

Abstract: This paper is focused on the development of AI-based hospital recommendation system to enable users find suitable healthcare facilities based on location, ratings, and patient reviews. By leveraging machine learning, the system can analyze the patient data and hospital attributes to provide personalized hospital recommendations. During the system development, hospital data, including location, reviews, and ratings were collected, cleaned and prepared for analysis. Machine learning algorithms, such as collaborative filtering and content-based filtering were employed. The best-performing model was selected based on accuracy metrics to ensure personalized recommendation. The system was implemented using PHP, MySQL, HTML, CSS and JavaScript. It is very helpful in the area of patient decision-making as it provides tailored hospital recommendations.

Date: 2025
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