AI-Driven Personalized Medical Recommendation System

Faizan Ahmad; Mansi Soni; Nigar Parveen; Saurabh Kumar Upadhyay; Syed Kazeem Akbar

doi:10.55524/ijircst.2025.13.3.5

Abstract

The advancement of Artificial Intelligence (AI) has paved the manner for wise healthcare solutions that may beautify prognosis and treatment hints. This paper provides an AI-driven Personalized Medical Recommendation System, which predicts diseases primarily based on person-input signs and indicates relevant drugs. The system leverages machine learning algorithms using supervised studying techniques for sickness prediction and content-primarily based filtering for medication guidelines. A Flask-based web application ensures accessibility, providing real-time interaction. Experimental effects suggest that the system provides exceptionally accurate and reliable clinical recommendations, showcasing the capacity of AI in modern healthcare. The development of a Medicine Recommendation System ambitions to help healthcare specialists and sufferers in selecting appropriate medications based totally on individual clinical profiles and particular situations.

Keywords

Medical Recommendation System, Machine Learning, Personalized Healthcare, AI in Healthcare, Healthcare Informatics, Symptom-Based Diagnosis, Disease Prediction, AI in Medicines, Clinical Decision Support, Personalized Treatment Plans, AI-Driven Healthcare Solutions.

References

S. Garg, "Drug recommendation system based on sentiment analysis of drug reviews using machine learning," in 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), Jan. 2021, pp. 175–181. IEEE. Available from: https://doi.org/10.1109/Confluence51648.2021.9377188
B. Stark, C. Knahl, M. Aydin, and K. Elish, "A literature review on medicine recommender systems," International Journal of Advanced Computer Science and Applications, vol. 10, no. 8, 2019. Available from: https://doi.org/10.14569/IJACSA.2019.0100802
S. Pandi, V. R. Kavitha, S. A. Shinev, and A. S. Valarmathy, "Empowering Patient Care: A Novel Patient Drug Recommendation System Using Artificial Intelligence with Modified Learning Strategy," in 2024 International Conference on Computing and Data Science (ICCDS), Apr. 2024, pp. 1–6. IEEE. Available from: https://doi.org/10.1109/ICCDS60734.2024.10560419
T. Iqbal et al., "Towards integration of artificial intelligence into medical devices as a real-time recommender system for personalized healthcare: State-of-the-art and future prospects," Health Sciences Review, vol. 10, 2024. Available from: https://doi.org/10.1016/j.hsr.2024.100150
P. Chinnasamy et al., "Health Recommendation System using Deep Learning-based Collaborative Filtering," Heliyon, vol. 9, no. 12, 2023. Available from: https://tinyurl.com/r9hkanhd
C. K. Suryadevara, "Towards personalized healthcare—an intelligent medication recommendation system," IEJRD - Int. Multidiscipl. J., vol. 5, no. 9, 2020. Available from: https://tinyurl.com/394z3xjv
P. Yao, "A disease interaction retrieval and recommendation system based on NLP technology," Journal of Physics: Conference Series, vol. 1771, no. 1, 2021. Available from: https://doi.org/10.1088/1742-6596/1771/1/012001
B. Stark, C. Knahl, M. Aydin, and K. Elish, "A literature review on medicine recommender systems," International Journal of Advanced Computer Science and Applications (IJACSA), vol. 10, no. 8, 2019. Available from: https://doi.org/10.14569/IJACSA.2019.0100802
B. Stark, C. Knahl, M. Aydin, and K. Elish, "A literature review on medicine recommender systems," International Journal of Advanced Computer Science and Applications (IJACSA), vol. 10, no. 8, 2019. Available from: https://doi.org/10.14569/IJACSA.2019.0100802
P. Yao, "A disease interaction retrieval and recommendation system based on NLP technology," Journal of Physics: Conference Series, vol. 1771, no. 1, 2021. Available from: https://doi.org/10.1088/1742-6596/1771/1/012001
V. B. Suryawanshi and S. Valand, "Personalized medicine: AI-driven recommendations based on patient history," International Journal of Research Publication and Reviews, vol. 6, no. 3, 2025. Available from: https://doi.org/10.55248/gengpi.6.0325.1296

Cites this article as

F. Ahmad, M. Soni, N. Parveen, S. K. Upadhyay, S. K. Akbar, "AI-Driven Personalized Medical Recommendation System", International Journal of Innovative Research in Computer Science and Technology (IJIRCST), vol. 13, no. 3, pp. 26-34, 2025. doi: https://doi.org/10.55524/ijircst.2025.13.3.5

Corresponding Author

Nigar Parveen

B.Tech Scholar, Computer Science and Engineering , Integral University , Lucknow , India

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AI-Driven Personalized Medical Recommendation System

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