Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{191252,
author = {S. Vijayakumar and C. Senthil Kumaran},
title = {SMART HEALTH CARE SYSTEM AI-BASED DISEASE PREDICTION AND PATIENT FEEDBACK SENTIMENT ANALYSIS},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {8},
pages = {6244-6250},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=191252},
abstract = {The smart healthcare system can be considered as a complete e-health system that aims to integrate AI for disease prediction, emotional analysis of patient feedback, drug dispensing, and automatic generation of drug prescriptions in PDF format. The smart healthcare system is equipped with efficient symptom analysis, emotion analysis from patient replies, and well-structured recommendations for solutions via medical mapping from databases. The smart health care system not only provides better health services but also ensures user interaction and efficient decision-making through analysis.},
keywords = {smart healthcare system, disease prediction, sentiment analysis, applications of AI in healthcare.},
month = {January},
}
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