학술논문
Personalized Healthcare Recommendations with Q-Learning Reinforcement Learning
Document Type
Conference
Source
2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI) Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI), 2023 International Conference on. 1:1-6 Dec, 2023
Subject
Language
Abstract
The transforming potential of Q-Learning in customized medical recommendations is examined in this study. Its performance in comparison to conventional methods, strategic data utilization, and flexibility in a variety of scenarios all show great promise. However, a significant gap in the literature emphasizes how important it is to take ethics into account when using patient data. The findings show that Q-learning improves patient outcomes, but its ethical implications are still mostly unknown. This study offers ethical guidelines for future research that address the identified gap. In short, even though Q-Learning has many advantages, ethical issues must be bridged in order to promote responsible integration into healthcare, striking a balance between technical advancements as well as moral principles to enhance patient outcomes.