Apr 25, 2023 · In this study, we proposed a TCM herbal prescription planning framework based on deep reinforcement learning for chronic disease treatment (PrescDRL).

Sep 11, 2024 · In this study, we proposed a TCM herbal prescription planning framework based on deep reinforcement learning for chronic disease treatment ( ...

Oct 16, 2024 · PrescDRL is a sequential herbal prescription optimization model that focuses on long-term effectiveness rather than achieving maximum reward at every step.

In this study, we proposed a TCM herbal prescription planning framework based on deep reinforcement learning for chronic disease treatment (PrescDRL). PrescDRL ...

In this study, we proposed a TCM herbal prescription planning framework based on deep reinforcement learning for chronic disease treatment (PrescDRL). PrescDRL ...

This study is about using artificial intelligence to create better treatment plans for patients with chronic diseases in traditional Chinese medicine.

A optimization framework for herbal prescription planning based on deep reinforcement learning. Resource URI: https://dblp.l3s.de/d2r/resource/publications ...

A optimization framework for herbal prescription planning based on deep reinforcement learning ... We constructed a high-quality benchmark dataset for sequential ...

In this study, we proposed a TCM herbal prescription planning framework based on deep reinforcement learning for chronic disease treatment (PrescDRL). PrescDRL ...

Performance comparison of prescription recommendation. A optimization framework for herbal prescription planning based on deep reinforcement learning.