Optimizing the dynamic treatment regime of outpatient rehabilitation in patients with knee osteoarthritis using reinforcement learning

In this study, a deep learning-based KOA treatment optimization model was developed, which was able to adjust the treatment plan in real time and respond to changes in patient status. By integrating feature selection and reinforcement learning techniques, this study proposes an innovative method for treatment optimization, which offers new possibilities for chronic disease management and demonstrates certain feasibility in the development of personalized medicine and precision treatment strategies.