基于中医证候量表探讨建立智能化中医药临床决策与疗效评价模式的设想

Discussion on establishing the intelligent TCM clinical decision-making and curative effect evaluation model based on the TCM pattern scale

中医证候量表日益成为中医证候转化为临床疗效评价指标的载体,但其仍然面临着标准化程度不够高、临床应用推广不够充分、"辨证-诊断-治疗-评价"一体化程度不强等瓶颈问题,如何将中医证候量表有效服务于临床成为值得关注和解决的问题。人工智能对于大数据的深度学习和融合能力带来的启示,使笔者提出将已有成功研制的量表、研制量表的方法学成果与人工智能有机融合的设想,试图将中医证候量表作为中医人工智能获取深度学习资料的途径,将人工智能作为中医证候量表临床推广应用的载体,为智能化中医药临床决策与疗效评价模式的构建提供思路。

TCM pattern scale is turning TCM patterns into the clinical curative effect evaluation parameters,but it still faces a lot of bottlenecks such as poor standardization,inadequate clinical application,and lack of"pattern differentiation-diagnosis-treatment-evaluation"integration.How to effectively apply the scale in clinical settings has become a problem worthy of attention and in need of solution.Artificial intelligence’s ability of deep learning and integration of big data has inspired the present researchers to put forward the hypothesis that integrates the existing scales,methodology of scale development and artifical intelligence.TCM scales may be used as the way for TCM artificial intelligence to access deep learning materials,and artificial intelligence as the means of clinical application of TCM pattern scale.The research provides reference for the development of intelligent TCM clinical decision making and efficacy evaluation.