Empowering Clinicians with Medical Decision Transformers: A Framework
for Sepsis Treatment
Empowering Clinicians with Medical Decision Transformers: A Framework
for Sepsis Treatment
Offline reinforcement learning has shown promise for solving tasks in safety-critical settings, such as clinical decision support. Its application, however, has been limited by the lack of interpretability and interactivity for clinicians. To address these challenges, we propose the medical decision transformer (MeDT), a novel and versatile framework based on …