醫(yī)學(xué)交流課件：基于Matlab智能算法的胃食管返流病中藥治療方案優(yōu)選

1、基于基于MatlabMatlab智能算法的胃食管返流病智能算法的胃食管返流病 中藥治療方案優(yōu)選中藥治療方案優(yōu)選 About GERDAbout GERD High Incidence Rate (5.2%-8.5% in east Asia after 2005) Three sub types Acid reflux and heartburn Loss of control by PPIs Herbs are a good alternative choice Good to be evaluated by symptom scores, which is somehow like TCM

2、 evaluation Possible to be prescribed by machine based on study ANN is an important way to realize that Rough set used for the diagnosis of GERDRough set used for the diagnosis of GERD After the diagnosis, then? Where is the corresponding treatments? What is ANN? Artificial neural networks (ANNs), a

3、 form of connectionism, are computing systems inspired by the biological neural networks that constitute animal brains. Such systems learn (progressively improve performance) to do tasks by considering examples, generally without task-specific programming. For example, in image recognition, they mig

4、ht learn to identify images that contain cats by analyzing example images that have been manually labeled as cat or no cat and using the analytic results to identify cats in other images. They have found most use in applications difficult to express in a traditional computer algorithm using rule- ba

5、sed programming. Why we need? 1. AI challenges increased in human society, including those traditional fields; 2. The idea of TCM has big possibility to be simulated by ANN. 3. The development of some toolbox make it easier to make research into this field. 4. Matlab is a good tool for Simulink and

6、explore the possibility of “Treatment based on symptoms recognition”. Human Training and Machine Study 1. Different Study curve 2. Different Capacity of study 3. Different precision of acquiring knowledge 4. Different utilization power a3=f3(LW3,2f2(LW2,1f1(IW1,1pb1)b2)b3)=y Correspondance Bwteen Sy

7、mptoms and Herbs D1D2Dn S1 S1 Sm Frequency normalized0,1 （xmin）/(maxmin) Memory Weight Matrix X= 0000. 00000. 01364. 00909. 00000. 00455. 00000. 00000. 00000. 00000. 00455. 01364. 0 0000. 00455. 00909. 07727. 01364. 00455. 00000. 00000. 00455. 00455. 02273. 02273. 0 0000. 00000. 01818. 00909. 02273.

8、 03182. 00000. 00000. 02727. 00909. 00000. 03182. 0 0455. 00000. 01818. 02273. 00455. 01818. 00000. 00455. 00909. 00000. 00000. 00909. 0 0455. 00455. 00000. 00909. 00909. 00455. 00000. 00455. 00455. 00909. 00455. 03636. 0 0000. 00455. 02273. 01364. 00000. 02273. 00000. 00455. 00909. 00000. 01364. 03

9、182. 0 0455. 00000. 02273. 02273. 01818. 03636. 00000. 01364. 05909. 03636. 02727. 03636. 0 0455. 00455. 04545. 01818. 01364. 04545. 00000. 00455. 04545. 01818. 00909. 03182. 0 0455. 00455. 02727. 01364. 00909. 04545. 01364. 00455. 03636. 01818. 00909. 04091. 0 0000. 00000. 00909. 00455. 02273. 0181

10、8. 00000. 00000. 03636. 01818. 00000. 01818. 0 0909. 00455. 03182. 00909. 00909. 00909. 00000. 00455. 00909. 00455. 00909. 03636. 0 0455. 00000. 03636. 03182. 02273. 02727. 00455. 01364. 05455. 01818. 02273. 03636. 0 0000. 00000. 05000. 03636. 00455. 04545. 00000. 00000. 03636. 01364. 02273. 02727.

11、0 0909. 00909. 06818. 03636. 02273. 06818. 01818. 00909. 04545. 02727. 01364. 03636. 0 0909. 00909. 00000. 15909. 01818. 05455. 00455. 00909. 05455. 02273. 02273. 05909. 0 Memory weight matrix S1:0.3636;S2:0.2273;S3:0.2182;S4:0.5272;S5:0.0909;S6:0.0455; S7:0.4545;S8:0.2273;S9:0.3636;S10:0.4909;S11:0

12、.0455;S12:0.0818。 Lower threshold of selection Symptoms and Herbs Sets Say s1=中酸，s2=嘈雜，s3=反胃， s4=嘔吐，s5=胸痹，s6=梅核氣， s7=胸痞，s8=嘔逆，s9=胃痞，s10= 納差，s11=脅痛，s12=噯氣。藥物 d1=陳皮，d2=甘草，d3=白術(shù)， d4=半夏，d5=蒼術(shù)，d6=茯苓， d7=人參，d8=生姜，d9=神曲， d10=吳萸，d11=砂仁，d12=黃連。 Composition of any four symptoms: MatLab program: combntns(1,2,3

13、,4,5,6,7,8,9,10,11, 12,4) S1=1 1 1 1 0 0 0 0 0 0 0 0; S2=1 1 1 0 0 1 0 0 0 0 0 0; S3=1 1 1 0 0 0 0 1 0 0 0 0; D1=1 1 1 1 1 1 0 1 0 1 0 1; D2=1 1 1 1 1 1 0 1 0 1 0 1; D3=1 1 1 1 1 1 0 1 0 1 0 1; S=S1;S2;S3; D=D1;D2;D3; net=newff(0,1;0,1;0,1;0,1;0,1;0,1;0, 1;0,1;0,1;0,1;0,1;0,1,5,3,12,tansi g,tansig,t

14、ansig); Symptoms setBP network Training and Simulink Train function for training and Sim function for Simulink: After around 3090 paces, the error is almost approaching 0 Case Test 1 The patient has反酸，胃痞，納差，噯氣symptoms，so the symptoms set would be： S4=1 0 0 0 0 0 1 0 1 0 0 1; D4=sim(net,S4) 結(jié)果顯示應(yīng)該采用的

15、藥物為陳皮，半夏，蒼術(shù)，黃連， 基本勾勒出了蒼連丸（見古今醫(yī)鑒卷五）的主要成份。 蒼連丸由蒼術(shù)、陳皮、半夏、黃連、茯苓、吳萸六味藥組 成，用治郁積吞酸?；颊咴诜此岬耐瑫r癥見胃痞、納差、 噯氣，恰為郁積的表現(xiàn)，因此基本符合蒼連丸的應(yīng)用指征。 Case Test 2 Patient 2 has嘈雜，胸痹，脅痛，噯氣symptoms，the symptoms set would be: S5=0 1 0 0 1 0 0 0 0 0 1 1; D5=sim(net,S5) 據(jù)其輸出結(jié)果，可選用的藥物為陳皮，甘草，白術(shù)，半夏，蒼術(shù)，茯苓，生姜，吳萸， 黃連，基本包含了二陳、左金等對治之劑，能夠較好地體現(xiàn)

16、中醫(yī)的辨證論治思想。 上述過程的輸出層也可應(yīng)用硬限幅函數(shù)“hardlim”，則結(jié)果將以“0”或“1”的二值形式 出現(xiàn)，0表示該藥不選用，1表示選用該藥。 Programed Realization of TCM D30 suppl 210:36-37. 2 鄭筱萸主編.中藥新藥臨床研究指導(dǎo)原則.第1版.北京：中國醫(yī)藥科技出版社.2002:366-368. 3 Numans ME, Bonis PA and Lau J. Limitations of gold standards for disgnosing gastroesophageal reflux disease. Annals 2004;141:648-649. 4 Numans ME, Lau J, de Wit NJ, et al. Short-term treatment with proton-pump inhibitors as a test for gastroesophageal reflux disease: A meta-analysis of diagnostic test characteristics. Annals 2004;140(6):518-527. 5 馬斌榮.