Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)

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Optimized Medicine Suggestion Using Ensemble Learning And Deep Learning

Authors
K. Subba Shankar1, *, Sri Charan Reddy Chilkuri1, E. F. Trisha Angeline1, Sadi Siddartha Reddy1
1Institute of Aeronautical Engineering (IARE), Dundigal, Hyderabad, India
*Corresponding author. Email: k.subbashankar@iare.ac.in
Corresponding Author
K. Subba Shankar
Available Online 4 November 2025.
DOI
10.2991/978-94-6463-858-5_65How to use a DOI?
Keywords
Personalized Medicine; Drug Recommendation System; Deep Learning; Ensemble Learning; NLP; Machine Learning; Predictive Analytics; Healthcare Technology
Abstract

The integration of machine learning and deep learning has significantly advanced personalized medicine, particularly in drug recommendation systems. This study presents a system that combines deep learning and ensemble learning techniques to generate tailored drug suggestions based on user-reported symptoms. The system utilizes a TF-IDF vectorizer to process text-based inputs and extracts key features for a deep neural network (DNN) model. The predicted conditions are refined through ensemble learning to enhance accuracy. Finally, the system maps conditions to a curated drug database for real-time recommendations. Performance evaluations highlight its efficacy, with future improvements targeting broader disease coverage, advanced NLP techniques, and adaptability to diverse inputs.

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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Volume Title
Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series
Advances in Computer Science Research
Publication Date
4 November 2025
ISBN
978-94-6463-858-5
ISSN
2352-538X
DOI
10.2991/978-94-6463-858-5_65How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - K. Subba Shankar
AU  - Sri Charan Reddy Chilkuri
AU  - E. F. Trisha Angeline
AU  - Sadi Siddartha Reddy
PY  - 2025
DA  - 2025/11/04
TI  - Optimized Medicine Suggestion Using Ensemble Learning And Deep Learning
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 764
EP  - 772
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_65
DO  - 10.2991/978-94-6463-858-5_65
ID  - Shankar2025
ER  -