Construction and application of a traditional Chinese medicine syndrome differentiation and treatment model grounded in knowledge distillation and reinforcement learning

Health Information Science and Systems · Published 2026-05-13 · DOI 10.1007/s13755-026-00451-0

Free full text

Authors (8)

Xinyu Wang, Xiaohe Sun, Jilong Shen, Jiadong Xie, Yichu Xu, Tao Yang, Haibo Cheng, Kongfa Hu

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Wang, X., Sun, X., Shen, J., et al. (2026). Construction and application of a traditional Chinese medicine syndrome differentiation and treatment model grounded in knowledge distillation and reinforcement learning. Health Information Science and Systems. https://doi.org/10.1007/s13755-026-00451-0

Related articles

• Hybridization of fuzzy logic based relevance vector and multi kernel image enhancement for Alzheimer′s disease diagnosis · Health Information Science and Systems · 2026 · Same journal
• Parameter-efficient fine-tuning with layer pruning on medical sequence-to-sequence modeling · Health Information Science and Systems · 2026 · Same journal
• Enhancing LLM-based medical decision-making by test-time knowledge acquisition · Health Information Science and Systems · 2026 · Same journal
• Computational and statistical insights for leveraging biomarker-driven machine learning models in predicting COVID-19 patient outcomes · Health Information Science and Systems · 2026 · Same journal
• An enhanced heart disease prediction model based on linear Diophantine fuzzy-integrated supervised machine learning · Health Information Science and Systems · 2026 · Same journal
• Detecting stress from videos via intra-subject and inter-subject learning · Health Information Science and Systems · 2026 · Same journal
• Enhancing explainability and performance of the depression detection model on social media utilizing feature engineering and LLMs · Health Information Science and Systems · 2026 · Same journal
• Healthcare utilization and chronic condition clusters in multimorbidity patients using weighted k-means: a register-based study in Denmark · Health Information Science and Systems · 2026 · Same journal
• LDComKG: an LLM-powered dual-enhanced framework for community-aware knowledge graph completion in traditional Chinese medicine · Health Information Science and Systems · 2026 · Same journal
• ToxicFreeMed: BERT-enhanced BPR algorithm for toxic-free medication recommendation · Health Information Science and Systems · 2026 · Same journal