中医在人工智能时代的挑战与经方智能化研究思路
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摘要
文章分析了人工智能(AI)时代中医药的三大机遇和两大瓶颈,认为AI有望在人才培养、疗效评价、疾病预测等方面助力中医发展,而标准化缺失及基础数据不足是中医智能化发展过程中所面临的巨大挑战。经方基于其标准化的理论特点而具有智能化属性,或为AI时代中医的突破口。文章还根据经方的"首辨六经归属,次辨病机方证,预测病传规律"三大临证思维路径,提出了一种复合算法结构的"经方AI辨证处方及病传预测模型"研究思路,其基于"分类-ANN-预测"三大算法,或可为临床决策提供智能化参考。
This paper analyzed the three major opportunities and two key bottlenecks of traditional Chinese medicine(TCM) in the era of artificial intelligence(AI). AI is expected to help TCM development in terms of personnel training, efficacy evaluation and disease prediction and more. TCM lacks standardization and insufficient basic data which are the critical challenges faced by the AI development. The classical formulas of TCM are based on a standardized theory and it contains intelligential attributes, possibly a breakthrough for TCM in the AI era. This paper incorporated three clinical theory pathways of the classical formulas ‘Six meridians differentiation, pathogenesis classification and prognosis transmission of disease patterns', thus proposed a research idea of complex algorithm structure ‘classical formulas differential prescription and transmission of diseases prediction models by incorporating AI', calculations based on the ‘classification-ANN-prediction' algorithms, which may provide an intelligential reference for clinical decision-making.
This paper analyzed the three major opportunities and two key bottlenecks of traditional Chinese medicine(TCM) in the era of artificial intelligence(AI). AI is expected to help TCM development in terms of personnel training, efficacy evaluation and disease prediction and more. TCM lacks standardization and insufficient basic data which are the critical challenges faced by the AI development. The classical formulas of TCM are based on a standardized theory and it contains intelligential attributes, possibly a breakthrough for TCM in the AI era. This paper incorporated three clinical theory pathways of the classical formulas ‘Six meridians differentiation, pathogenesis classification and prognosis transmission of disease patterns', thus proposed a research idea of complex algorithm structure ‘classical formulas differential prescription and transmission of diseases prediction models by incorporating AI', calculations based on the ‘classification-ANN-prediction' algorithms, which may provide an intelligential reference for clinical decision-making.
引文
[1]黄欣荣,钟平玉,马纲.人工智能与中医智能化.中医杂志,2017,58(24):2076-2079,2106
[2]王震宇.人工神经网络在中医专家系统知识挖掘中的应用.计算机与数字工程,2006,44(10):146-148,153
[3]刘晓峰,任廷革,高全泉,等.中医处方智能分析系统的研究与实践.中国中医药信息杂志,2007,14(10):97-99
[4]肖永华.名老中医经验继承研究现状及“中医处方智能分析系统”应用前景.中国中医药信息杂志,2010,17(5):1-3
[5]黄苗,肖永华,刘晓峰,等.基于中医处方智能分析系统的吕仁和治疗慢性肾炎1例量化研究.中国中医药信息杂志,2016,23(10):42-45
[6]谢雁鸣,宇文亚,耿直,等.基于因果模型的中医临床疗效评价方法探讨.中国中医基础医学杂志,2008,14(10):777-779
[7]Coulom R.Efficient selectivity and backup operators in monte-carlo tree search.Lecture Notes in Computer Science,2006,4630:72-83
[8]Kocsis L,Szepesvári C.Bandit based monte-carlo planning.Lecture Notes in Computer Science,2006,4212:282-293
[9]林树元,朱文佩,曹灵勇.从经方理论特点探讨中医标准化的新思路.中医杂志,2017,58(24):2080-2083
[10]柯雪帆.中医辨证学.上海:上海中医学院出版社,1987:19
[11]刘哲,赵宇明,苏群,等.肺癌化疗前后血糖水平及中医证候演变的数据挖掘研究.肿瘤药学,2018,8(2):268-273
[12]岳桂华,温宗良,杨靖,等.基于BP神经网络的高血压病中医证候与分级关系建模研究.中国中医基础医学杂志,2012,18(3):326-327
[13]覃裕旺,张爱珍,岳桂华,等.基于BP神经网络的高血压中医证候与危险分层关系研究.中国中医基础医学杂志,2013,19(4):464-466
[14]徐亮,陈守强,侯建辉,等.基于BP神经网络的中医辨证模型构建方法探讨.世界中医药,2016,11(2):335-338
[15]李建生,胡金亮,王永炎.基于2型糖尿病数据挖掘的中医证候诊断标准模型建立研究.中国中医基础医学杂志,2008,14(5):367-370
[16]林树元,徐玉,曹灵勇,等.经方医学理论源流发展述略.中华中医药杂志,2017,32(11):4873-4875
[17]周志华.机器学习.北京:清华大学出版社,2016:224
[18]宫书畅.从Alpha Go人机围棋大战解读人工智能技术.电子制作,2017(16):35-36
[2]王震宇.人工神经网络在中医专家系统知识挖掘中的应用.计算机与数字工程,2006,44(10):146-148,153
[3]刘晓峰,任廷革,高全泉,等.中医处方智能分析系统的研究与实践.中国中医药信息杂志,2007,14(10):97-99
[4]肖永华.名老中医经验继承研究现状及“中医处方智能分析系统”应用前景.中国中医药信息杂志,2010,17(5):1-3
[5]黄苗,肖永华,刘晓峰,等.基于中医处方智能分析系统的吕仁和治疗慢性肾炎1例量化研究.中国中医药信息杂志,2016,23(10):42-45
[6]谢雁鸣,宇文亚,耿直,等.基于因果模型的中医临床疗效评价方法探讨.中国中医基础医学杂志,2008,14(10):777-779
[7]Coulom R.Efficient selectivity and backup operators in monte-carlo tree search.Lecture Notes in Computer Science,2006,4630:72-83
[8]Kocsis L,Szepesvári C.Bandit based monte-carlo planning.Lecture Notes in Computer Science,2006,4212:282-293
[9]林树元,朱文佩,曹灵勇.从经方理论特点探讨中医标准化的新思路.中医杂志,2017,58(24):2080-2083
[10]柯雪帆.中医辨证学.上海:上海中医学院出版社,1987:19
[11]刘哲,赵宇明,苏群,等.肺癌化疗前后血糖水平及中医证候演变的数据挖掘研究.肿瘤药学,2018,8(2):268-273
[12]岳桂华,温宗良,杨靖,等.基于BP神经网络的高血压病中医证候与分级关系建模研究.中国中医基础医学杂志,2012,18(3):326-327
[13]覃裕旺,张爱珍,岳桂华,等.基于BP神经网络的高血压中医证候与危险分层关系研究.中国中医基础医学杂志,2013,19(4):464-466
[14]徐亮,陈守强,侯建辉,等.基于BP神经网络的中医辨证模型构建方法探讨.世界中医药,2016,11(2):335-338
[15]李建生,胡金亮,王永炎.基于2型糖尿病数据挖掘的中医证候诊断标准模型建立研究.中国中医基础医学杂志,2008,14(5):367-370
[16]林树元,徐玉,曹灵勇,等.经方医学理论源流发展述略.中华中医药杂志,2017,32(11):4873-4875
[17]周志华.机器学习.北京:清华大学出版社,2016:224
[18]宫书畅.从Alpha Go人机围棋大战解读人工智能技术.电子制作,2017(16):35-36