动态不确定因果图在中医诊断中的应用探讨OACSTPCD
Discussion on Application of Dynamic Uncertain Causal Graph in Traditional Chinese Medicine Diagnosis
动态不确定因果图(DUCG)已成为中医药领域新兴的、先进的知识表示与推理模型.为更好地应用DUCG为中医临床提供诊断推理与决策支持,在归纳总结DUCG中医药领域研究与应用情况的基础上,分析现阶段DUCG在中医诊断中存在的主要问题,包括中医术语规范统一和中医药知识库质量问题、推理算法和模型建造的方法选择与设计问题、DUCG中医诊断模型的平台化和产品化问题等,并据此展开应用思路与方法探讨,提出应深挖DUCG的技术内涵,根据临床实际需求选择精准、高效的…查看全部>>
Dynamic uncertainty causality graph(DUCG)has emerged as an advanced knowledge representation and reasoning model in the field of traditional Chinese medicine(TCM).In order to better use DUCG to provide diagnostic reasoning and decision-making support for TCM in clinic,in this paper the main problems of DUCG in TCM diagnosis at this stage were discussed,based on summarizing the research and application of DUCG in TCM field including the unification of TCM ter…查看全部>>
李敏;戴国华;高武霖
山东中医药大学,山东济南 250355山东中医药大学附属医院,山东济南 250014山东中医药大学附属医院,山东济南 250014
中医学
中医诊断动态不确定因果图人工智能应用方法辅助诊疗
traditional Chinese medicine diagnosisdynamic uncertain causal graphartificial intelligenceappli-cation methodsauxiliary diagnosis
《山东中医杂志》 2024 (7)
670-674,728,6
国家重点研发计划项目(编号:2019YFC1710401)国家自然科学基金项目(编号:81774047)
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