AI-Enhanced Drug Recommendation For personalized Healthcare Using Deep Learning

DOI

10.2991/978-94-6463-738-0_35How to use a DOI?

Keywords

Disease prediction; Support vector machines (SVM); Random forests; K-nearest neighbors (KNN); Treatment recommendation; Model performance; Deep learning system

Abstract

A personalized healthcare recommendation engine is a strong machine learning system that enables a user to determine probable diseases and recommend measures on health care. It accepts the user’s symptoms and can predict diseases using various models like support vector machines, random forests, and K-nearest neighbors. The project comes with a well-structured dataset that contains data on symptoms, what to avoid, treatment, diet, and exercise for several diseases, among others. The system can forecast the illnesses that the particular user is most likely to suffer from and provides a recommended approach to addressing the specific ailment based on diagnosis The performance of the model is improved by including different methods of preprocessing the raw data, such as label encoding and splitting of the data. The system also involves the training and testing of several models to identify the best model that will perform the disease prediction task with minimal error This increases the usability and effectiveness of the system as a whole, hence making it a wonderful tool for diagnosis and health management aided by a recommendation system.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - C. Manimegalai
AU  - N. Kabilan
AU  - A. Inbavalli
AU  - K. Balaji
PY  - 2025
DA  - 2025/06/22
TI  - AI-Enhanced Drug Recommendation For personalized Healthcare Using Deep Learning
BT  - Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
PB  - Atlantis Press
SP  - 433
EP  - 444
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-738-0_35
DO  - 10.2991/978-94-6463-738-0_35
ID  - Manimegalai2025
ER  -