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Mathematical Analysis Of The The Ancient Medical Records Of Emotional Syndrome Information

Posted on:2008-04-09Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y ZhouFull Text:PDF
GTID:1104360215965415Subject:Basic Theory of TCM
Abstract/Summary:PDF Full Text Request
The medical records of traditional Chinese medicine(TCM) is precious resources of TCM theory, and the research of them is a shortcut. Summarizing theory from the medical records is a feasible path to develop Chinese medicine fundamental theory. The information of medical records of TCM includes the background information, content information and valuation information. Mathematical analysis has the characteristics of systematic, multi-facet, great flux, objectivity, which can be used in analyzing abundant and complex clinical medical records in TCM, and objectively conclude the complex relation of the syndrome, sickness, symptom, prescription and medicine. This research faced to the the ancient medical records of emotional syndrome patterns. The analysis of the symptoms and signs, pathogenesis factor and the treatment method have many subjective factor. The disease, symptom and the medicine draws more close to the original and reflects the true appearance of the medical records. Therefore, this research emphasize to the mathematic analisis in disease-syptom-medicine, mining the characteristic and relationship, summarize the basic pathogenesis by the basic prescription and medicine analysis, deduces and validate the rule of syndrome and treatment in emotional syndrome patterns.1,ObjectiveThe research aimed at the mining of the rule of syndrome and treatment of emotional syndrome patterns in the ancient medical records of emotional syndrome patterns by mathematic analysis.2,MethodsThe research object is the the ancient medical records of emotional syndrome patterns, In order to build the database, using all kinds of mind symptom as keyword to search the medical records of emotional syndrome patterns in "zhong hua yi dian". According to the original medical records, we analyze the syptom, gender, age, inducement, pathogenesis, place, differentiation of symptoms and signs, therapy method, medicine, etc.By the SAS8.2 software programming, the text data is converted to the digital variable as 1 and 0 respectively. And finally complete the frequency analysis, the factor analysis, the canonical correlation analysis, the connection analysis.3,ResultsA. General discuss1). Common analysisThis research have 1040 medical records in 91 ancient medical books, refer to 17 emotional diseases, such as palpitation, insomnia, melancholia, epilepsy, insane, crazy, etc.. Most of the records didn't mention the gender (70%) and the age (79.9%). Disease incidence of the female is more than the male, but has no obvious difference in age distribution.Most medical records didn't describe the onset emergency (62.6%) or otherwise, didn't note the inducement (60.5%). Many kinds of emotional inducement mix to induce disease. The places of the most emotional syndrome patterns are the heart, the liver and the spleen.2). Symptoms, the type of tongue and pulseThere are 338 kinds of symptoms, and the total frequency is 3331. More of the clinic symptom are palpitation, insomnia, dizziness, frighten, and melancholy. According the factor analysis, the symptoms are classified to six kinds: heart-renal relative, heat type relative, mind relative, stagnation of phlegm-dampness syndrome relative, spleen relative, emotion (liver) relative.Only 102 items record the type of tongue(9.81%), 420 items record the type of pulse (40.4%). The most frequently is taut-slippery pulse, and the next is taut-rapid pulse, rapid pulse, thready-taut pulse, feeble pulse in turn. Taut pulse and rapid pulse are the most in the complex pulse type.3). Differentiation of symptoms and signsThere are no obvious difference between deficiency syndrome and excess syndrome. Heat syndrome is more than cold syndrome. In the differentiation of syndrome according to the state of qi-blood-bodyfluid, stagnation of phlegm-dampness syndrome is most frequently, the next is phlegm-heat syndrome, qi-deficiency, stagnation of qi, stagnant qi transform into fire.In the differentiation of syndrome according to zang-fu, heart and liver syndrome is more frequently and lung syndrome is the lowest. In the distribution of syndrome, deficiency of spleen qi is the most, the next is liver-fire syndrome, up-stirring of liver syndrome, stagnation of liver-qi, etc.4). Therapeutic methods and medicineThe most of therapeutic methods of emotional syndrome patterns patterns is invigorating therapy, the next is phlegm therapy, heat-clearing therapy, regulating therapy, etc.. There are 444 kinds of medicine, and the total appearrance frequency is 9936. More of the medicine used in the emotional syndrome patterns are Tuckahoe, Liquorice, Pinellia, Spinosae, Poria, Angelica, White peony, Polygala, etc.. Medicinal combination in common use: Sorghum, Pinellia Tuber; Calamus, Polygala; Platycladi, Tuckahoe; Jujubae, Liquorice; Bupleuri, Liquoric; Platycladi, Spinosae; Astragali, Angelica; etc.According to the factor analysis result, combining the TCM theory, the medicine in commom use are classified to seven kinds: tonification, resolving phlegm and claming the endopathic wind, tranquilization, nourishing yin, nourishing the liver, regulating qi and resolving phlegm, clearing liver fire and soothe liver qi.5). Symptom-medicine relationAccording to the pearson correlative analysis between medical factor and symptom factor in the hypothesis test, the absolute value of correlation coefficient is small, though p<0.05.According to the canonical correlative analysis between symptom and medicine, the 1-12 canonical correlation coefficient p<0.05 in the hypothesis test, the relationship between symptom and medicine have the statistic sense. The correlation of the single medicine and the single disease is not very closely, but the association between the medical group and the disease are very nearly.B. Individual discuss1). Insomnia medical recordsThere are 192 insomnia records, the most common syndrome is incoordination between heart and renal, the next is qi-deficiency of spleen, yin-deficiency of renal, upward disturbance of liver yang, etc. Using qi-blood-bodyfluid differentiate syndrome. The phlegm-dampness syndrome and phlegm-heat syndrome is common syndrome.There are 270 kinds of medicine. More of the medicine are invigorating spleen, tranquilization, fostering blood, solving phlegm, etc.. In using frequence of the medicine in insomnia medical records, Tuckahoe, Spinosae, Pinellia tuber is more. Used medicine combination: Calamus, Tuckahoe; Longan, Polygala; Miltiorrhizae, Tuckahoe; Asini, Tuckahoe; Haliotidis, Tuckahoe; Platyc]adi, Spinosae; Astragali, Macrocephalae; Multiflori, Polygala; Vermilion, Spinosae; etc.Insomnia prescription (KDD1 prescription): Tuckahoe, Spinosae, Polygala, White peony, Angelica, Pinellia. It can be regarded as the basic prescription for insomnia. From this, the insomnia basic pathogenesis can be deduced, that is, the blood deficiency of heart and liver, mental disturbance, disorder between yang and yin. The therapeutic methods is fostering blood, tranquilization, regulate yin and yang.2). Depressive syndrome medical recordsThere are 214 depressive syndrome medical records, the most common syndrome is stagnation of liver qi, the next is flaming-up of liver fire, qi-deficience of spleen, disharmony between liver and stomach, discordance between liver and spleen. Using qi-blood-bodyfluid differentiate syndrome, the qi-stagnation, qi-deficiency, stagnant qi transforming into fire, phlegm-dampness syndrome is common syndrome.There are 313 kinds of medicine. More of the medicines are invigorating sp]een, regulating the flow of qi, fostering blood, etc. The using frequence in depressive syndrome medical records, Poria, Liquorice, Angelica, Cyperi, White peony, Curcumae is more. Used medicine combination: Caulis banbusae, Poria; Mint, Poria; Astragali, Macrocephalae; Wheat, Jujubae, Liquorice; Astragali, Angelica, Macrocephalae; Bupleuri, Angelica, Macrocephalae; Ginseng, Polygala, Poria, Liqurice; etc.Depressive syndrome prescription(KDD2 prescription): Poria, Angelica, White peony, Liquorice, Ginseng, Ginger, Bupleuri, Jujubae, Macrocephalae, Cyperi, Curcumae, Reticulatae. It can be regarded as the basic prescription for depressive syndrome. To deduce the depressive syndrome pathogenesis is stagnation of liver qi, defiency of liver blood. The basic pathogenesis is stagnation of qi and disorder between qi and blood. The therapeutic methods is promoting flow of qi, fostering blood, soothing liver and invigorating spleen.3). Palpitation medical recordsThere are 284 items insomnia medical records, the most common syndrome is deficience of heart blood, then is up-stirring of liver, deficience of heart qi, deficiency of spleen qi. Using qi-blood-body fluid differentiate syndrome, the stagnation phlegm-dampness syndrome is the most common syndrome, then is blood-deficience, phlegm heat, deficiency of blood and qi.There are 411 kinds of medicine. More of the medicines are tranquilization, invigorating spleen, regulating the flow of qi, fostering blood, etc. In using frequence of the medicine in palpitation medical records, Poria, Liquorice, is more. Then is Angelica, Cyperi, White Peony, Curcumae. Used medicine combination: Ginseng, Macrocephalae, Liquorice, Angelica, White peony; Spinosae, Calamus, Tuckahoe, Polygala; etc.Palpitation prescription(KDD3 prescription): Pinellia, Reticulatae, Ginseng, Poria, Macrocephalae, Liquorice, Angelica, White peony, Polygala, Tuckahoe, Spinosae, Keel. It can be regarded as the basic prescription for palpitation. To deduce the palpitation basic pathogenesis is deficiency of heart and spleen, deficiency of qi nd blood. The therapeutic methods is fostering blood, invigorating qi.4). Stagnant qi transforming into fire syndrome medical recordsThere are 109 items stagnant qi transforming into fire syndrome medical records, the most common appeared in depressive syndrome (56.9%), then is insane, palpitation, etc..There are 224 kinds of medicine. More of the medicine are tranquilization, invigorating spleen, regulating the flow of qi, fostering blood, etc.. In using frequence of the medicine in stagnant qi transforming into fire syndrome medical records, Gardenia, Cotex moutan, Angelica, Poria, is more. Used medicine combination: Naturtalis, Coptidis; Tuckahoe, Polygala, Asini, Rehmanniae; Ginseng, Macrocephalae, Liquorice; Folium mori, Cotex moutan; Gentianae, Gardenia; Dendrobii, Cotex moutan; etc.Stagnant qi transforming into fire syndrome prescription(KDD4 prescription): Caulis banbusae, Pinellia, Ginger, Reticulatae, Bupleuri, Coptidis, Cotex moutan, Cyperi, Gardenia, Rehmanniae, Poria, Liquorice, Macrocephalae, Ginseng, Angelica, White peony.5). Stagnation of phlegm-dampness symdrome medical records There are 153 items stagnation of phlegm-dampness symdrome medical records, the most common appeared in epilepsy (26.8%), then is insomnia, palpitation, depressive syndrome, insane, etc.There are 253 kinds of medicine. More of the medicines are solving phlegm, tranquilization, invigorating spleen, etc. In using frequence of the medicine in stagnation of phlegm-dampness symdrome medical records, Pinellia, Reticulatae, Tuckahoe, Poria, is more. Used medicine combination: Reticulatae, Immatuurus, Pinellia; Caulis banbusae, Reticulatae, Pinellia; Tuckahoe, Pinellia, Reticulatae; Polygala, Pinellia, Reticulatae; etc.Stagnation of phlegm-dampness symdrome prescription(KDD5 prescription): Reticulatae, Pinellia, Poria, Liquorice, Polygala, Tuckahoe.6). Deficiency of spleen-qi syndrome medical recordsThere are 169 items deficiency of spleen-qi syndrome medical records. The most common appeared in depressive syndrome, insomnia, palpitation, etc.There are 181 kinds of medicine. More of the medicines are invigorating spleen, regulating the flow of qi, fostering blood, etc. In using frequence of the medicine in deficiency of spleen-qi syndrome medical records, Macrocephalae, Liquorice, Poria, Angelica, is more. Used medicine combination: Macrocephalae, Liquorice, Ginseng, Poria; Poria, Reticulatae, Pinellia, Liquorice; Bupleuri, Poria, Macrocephalae; Angelica, Macrocephalae, Spinosae, Polygala, Poria; etc.Deficiency of spleen-qi syndrome prescription (KDD6 prescription): Macrocephalae, Liquorice, Ginseng, Poria, Reticulatae, Pinellia, Angelica, White peony.4,ConclusionThis research drew the conclusion by mathematical analyzing the 1040 ancient medical records of emotional syndrome patterns:1). Mathematical analysis fit in researching TCM medical records, it also prove the TCM theory clearly by quantizing the evidence.2). It matchs clinic more that mixed emotion induce disease together.3). The syndrome differentiation and treatment of emotional syndrome patterns can combine the Zangfu system and Qi-Blood-Body fluid system. The basic pathogenesis is qi-deficiency and stagnation of qi, then cause the blood-deficiency and flowing stagnation of body fluid. The disorder of Zangfu function is also impotant pathogenesis in emotional syndrome patterns. The deficiency pathogenesis focus on the spleen, renal, heart and liver, the most are qi-deficiency, yin-deficiency and blood-deficiency. The excess patbogenesis appears in the liver, heart, gallbladder and stomach, the most are pathogenic fire and phlegm.4). Combine the syndrome, disease and syptom of differentiation and treatment is useful for the clinic in treating emotional syndrome patterns.5). Mathematical analysis is useful in research of medical records of emotional syndrome patterns support the value of some medicine and classical prescription. It can also confirm some known medicine pair, find the existence of special combination, mine the effectual medicine and medicine pair in common use, the KDD prescription of each disease and syndrome. And deduced the basic pathogenesis by the KDD prescription. It matchs the existing TCM theory and prove the theory. It provides the basis for clinic and the method for further clinic and experiment research.
Keywords/Search Tags:Emotional syndrome patterns, Ancient medical records, Mathematical analysis, Data mining
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