Research Article
Medi-Co-AI - Based Smart Drug Recommendation System
@INPROCEEDINGS{10.4108/eai.28-4-2025.2357849, author={Swathi G and Bala Krishnan R and Sanjai C and Sanjeev M}, title={Medi-Co-AI - Based Smart Drug Recommendation System}, proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I}, publisher={EAI}, proceedings_a={ICITSM PART I}, year={2025}, month={10}, keywords={nlp ai ml her svm}, doi={10.4108/eai.28-4-2025.2357849} }- Swathi G
Bala Krishnan R
Sanjai C
Sanjeev M
Year: 2025
Medi-Co-AI - Based Smart Drug Recommendation System
ICITSM PART I
EAI
DOI: 10.4108/eai.28-4-2025.2357849
Abstract
This project is focused on the development of a Drug Recommendation System which we have designed using Python to put together the right drugs based on patient symptoms, disease diagnosis and output of present medications. We are working with a large set of organized patient data which includes info on symptoms, causes, diseases and the related medications which in turn we use to make disease predictions and put forward the best drug options via machine learning. In to develop the system we are doing data preprocessing, feature extraction, disease classification and drug recommendation algorithms which in turn will give very precise and personal medication recommendations. This system we aim to improve clinical decision making, to better the accuracy of prescriptions, and to help health care professionals and patients in the choice of the best treatment options which in turn we hope will see an improvement in patient outcomes.
