ACU-IKD

ACU-IKD is a Traditional Chinese Medicine (TCM) knowledge base for acupuncture indications, built using the ACUBERT NLP model to classify entities (meridians, symptoms) extracted from 54,593 entities across 82 medical texts. It enables standardized meridian differentiation based on TCM principles (eight principles, zang-fu) and provides a foundation for improving acupuncture treatment protocols.

ACU-IKD 是一款面向针灸适应症的中医（Traditional Chinese Medicine，TCM）知识库。该知识库依托ACUBERT自然语言处理（Natural Language Processing，NLP）模型，对从82篇医学文献中提取的54593个实体（涵盖经络(meridians)与症状(symptoms)）开展分类工作，以此完成知识库构建。其可基于中医理论（八纲(eight principles)与脏腑(zang-fu)）实现标准化的经络辨证，并为优化针灸治疗方案奠定了坚实基础。