PrescDRL: deep reinforcement learning for herbal prescription planning in treatment of chronic diseases

• Principais autores: Kuo Yang (Autor), Zecong Yu (Autor), Xin Su (Autor), Fengjin Zhang (Autor), Xiong He (Autor), Ning Wang (Autor), Qiguang Zheng (Autor), Feidie Yu (Autor), Tiancai Wen (Autor), Xuezhong Zhou (Autor)
• Formato: Livro
• Publicado em: BMC, 2024-10-01T00:00:00Z.
• Assuntos: article
• Acesso em linha: Connect to this object online.

Abstract Treatment planning for chronic diseases is a critical task in medical artificial intelligence, particularly in traditional Chinese medicine (TCM). However, generating optimized sequential treatment strategies for patients with chronic diseases in different clinical encounters remains a chal...