Fuzzy Logic for Personalized Healthcare Decision Support Systems
Keywords:
- Fuzzy Logic, Personalized Healthcare, Decision Support Systems (DSS), Uncertainty Management, Clinical Decision-MakingAbstract
Healthcare systems often face challenges in providing personalized treatment recommendations due to the variability and uncertainty in patient data. This paper proposes a fuzzy logic-based decision support system to address these challenges by incorporating expert-defined rules and fuzzy inference mechanisms. The model is designed to assist healthcare professionals in personalized treatment planning, ensuring adaptability to diverse patient profiles. Through simulations and case studies, we demonstrate the system’s effectiveness in handling ambiguous medical data, improving decision-making accuracy, and enhancing patient outcomes. Future prospects include integration with AI for hybrid models in clinical environments.
Downloads
References
- Fuzzy Logic, Personalized Healthcare, Decision Support Systems (DSS), Uncertainty Management, Clinical Decision-Making
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Shreya Gawand Gawand, Chinmay Mulay, Dr. Monalisa Hati
This work is licensed under a Creative Commons Attribution 4.0 International License.
IJOSCIENCE follows an Open Journal Access policy. Authors retain the copyright of the original work and grant the rights of publication to the publisher with the work simultaneously licensed under a Creative Commons CC BY License that allows others to distribute, remix, adapt, and build upon your work, even commercially, as long as they credit you for the original creation. Authors are permitted to post their work in institutional repositories, social media or other platforms.
Under the following terms:
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
