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融合多自然语言处理任务的中医辅助诊疗方案研究——以糖尿病为例 被引量:7

Assisted TCM Diagnosis and Treatment for Diabetes with Multi NLP Tasks
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摘要 【目的】为中医诊断治疗提供更精准、更智能的辅助参考,减少中医诊疗过程中的不确定性和难以量化的问题。【方法】以中医糖尿病医案数据为例,设计一种融合多自然语言处理任务的中医辅助诊疗方案,该方案融合情感识别、文本匹配等多自然语言处理任务序列,实现糖尿病的病情量化评估、症状信息匹配、症状自动摘要、病症类型判别和中药推荐,并进行实证研究。【结果】以模糊综合评价法进行10轮测试评估,在4项评价指标的平均隶属度分别为0.1949、0.3140、0.2173、0.2738,最大隶属度结果显示该方法效果为良好。【局限】临床医案数据稀缺,因此各子任务性能难以实现大幅度提升;未扩展到其他领域进行适应性检测。【结论】该方法在实际使用过程中能够有效地帮助医生解决诊断的不确定性问题,较好地辅助医生形成明确的诊疗结论,具有较为新颖的学术价值和重要的应用价值。 [Objective] This paper tries to provide more accurate and intelligent auxiliary reference for the diagnosis and treatment of Traditional Chinese Medicine(TCM), aiming to reduce their uncertainty and difficult to quantify issues. [Methods] First, we collected medical records of TCM for diabetes. Then, we created an auxiliary diagnosis and treatment scheme integrating multiple NLP tasks, i. e., emotion recognition and text matching. Finally, we examined our new model with the quantitative assessment of diabetes, symptom information matching, automatic symptom summarization, disease type discrimination and TCM recommendation. [Results] We conducted ten rounds of tests with the fuzzy comprehensive evaluation method.The average membership degrees of the four evaluation indices were 0.194 9, 0.314 0, 0.217 3 and 0.273 8 respectively. The maximum membership degree indicated the effectiveness of the proposed method. [Limitations]Due to the scarcity of clinical medical records, it is difficult to improve the performance of each subtask significantly. More research is needed to examine the model with data from other fields. [Conclusions] This method can effectively help doctors reduce the uncertainty as well as evaluate diagnosis and treatment.
作者 张玉洁 白如江 许海云 韩靖 赵梦梦 Zhang Yujie;Bai Rujiang;Xu Haiyun;Han Jing;Zhao Mengmeng(Institute of Information Management,Shandong University of Technology,Zibo 255000,China;School of Management,Shandong University of Technology,Zibo 255000,China;Shandong College of Traditional Chinese Medicine,Yantai 264199,China)
出处 《数据分析与知识发现》 CSSCI CSCD 北大核心 2022年第1期122-133,共12页 Data Analysis and Knowledge Discovery
基金 山东省社会科学规划研究一般项目(项目编号:21CTQJ11)的研究成果之一。
关键词 中医诊疗 自然语言处理 中医糖尿病 辅助决策 TCM Diagnosis&Treatment NLP Diabetes Mellitus in TCM Assistant Decision Making
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