Based On Data Mining Of Ancient And Modern Research Anti-nausea Prescription Compatibility Of The Law

Vomit is a common medical and clinical symptom, the trequent and violent vomit can cause series of complications of dehydration, electrolyte disorders etc, which do great harm to the human health. At the same time, vomit is also the common side effects and adverse reactions in the treatment of neoclassic diseases, leading to the majority of patients afraid of the treatment, and even giving up. Recently, there is less study of traditional Chinese medicine preventing vomit at home and abroad, and there is no Chinese medicine specializing in vomit. Although some western medicines (such as5-HT3receptor antagonists) have better effect of easing vomit but its price is expensive, and it also has the side effects of dizziness, diarrhea, constipation, lead to the difficulty in widely spreading. So, exploring Chinese medicine to prevent vomit has become the common goal of medical workers.Objective:This research tries to analyze the antiemetic prescription that preventing vomiting by data mining methods, finding their common understanding in etiology, pathogenesis and the methods of patterning differentiation. Meanwhile, revealing the ancient and modern antiemetic prescription medication characteristics and regularity of compatibility of prescriptions of traditional Chinese medicine, and even providing a new method of its information research.Methods:The study of ancient and modern antiemetic is to analyze1348samples for the treatment of emesis formula through the data pre-processing complete normalization of data preparation, and processing of data is in the Excel database including ancient antiemetic database, periodical literature antiemetic database and modern medical expert check vomit database. Through the introduction of data mining in the analysis of association rules, clustering analysis, frequent item sets algorithm, including drugs, medicine, drugs on frequency group, owned by air and including a number of relationship structure analysis.Results:1. Through the use of frequency analysis, we find that the proportion of the ancient treatment of vomiting in the data using the maximum of15kinds of drugs are Ginger, Orange peel, Licorice, Rhizoma pinelliae, Ginseng, Poria, Rhizoma atractylodis, Lilac, Magnolia officinalis, Ginger, Patchouli, Cinnamon, Jujube, Radix aucklandiae, Amomum villosum Lour. In the15drugs-Ginger, Orange peel, Licorice, Rhizoma pinelliae, Ginseng, Poria are used more than40%. In the periodical literature of drug treatment of vomit in the data reported by using the proportion of top15drugs is of Rhizoma pinelliae, Ginger, Poria, Orange peel, Rhizoma atractylodis, Bamboo, Jujubes, Licorice, Red ochre, Codonopsis, Inula, Amomum villosum, Licorice, rhizoma coptidis and ginseng. Pinellia ternata, Ginger, Poria, Orange peel frequency of use of these drugs more than40%; The usage of up to77.13%of pinellia ternata is28%higher than the rate of utilization of ginger. Famous doctors in modern treatments for vomiting in the data using the proportion of top15drugs is Rhizoma pinellia, Orange peel, Ginger, Poria, Bamboo, Rhizoma coptidis, Rhizoma atractylodis, Magnolia officinalis, Patchouli, Perilla frutescens, Red ochre, Poncirus, Codonopsis, Evodia rutaecarpa, Jujube. Pinellia, Orange peel, Ginger, Poria using these drugs more than40%, while using over70%of Rhizoma pinelliae.2. Through the medicine classification attribute frequency analysis, the medical prescription handed down from ancient time stops vomits in the data to use the proportion highest medicine classification attribute to restore vital energy the medicine, regulates the flow of vital energy the medicine, the interior-warming drug uses the number of times in7347medicine use number of times the sum is3323times, the utilization ratio is46%. The periodical literature stops vomits in the side medicinal preparation data to use the proportion highest medicine classification attribute for to restore vital energy the medicine, the warm cold phlegm medicine, regulates the flow of vital energy the medicine, its frequency of use sum total is45%.The near modern famous doctor famous expert stops vomits in Fang Ji to use the proportion highest medicine classification attribute for to regulate the flow of vital energy the medicine, restores vital energy the medicine, melts the wet medicine, its frequency of use sum total is36%.3. Through the data mining cluster and the connection rule computational method, we excavated treatment vomit anything that sets one’s mind at ease to are the pinellia-ginger’s combination, the medicine group for the pinellia-ginger-Poris cocos1combination, and further excavated the medicine and the card between incidence relation using the connection rule method. Simultaneously we inquired into four was mad with turns over to converge the spleen after the between structure relations discovery overwhelming majority medicine after also for the warm medicine.Conclusion:Data mining that modern information technology application in the field of traditional Chinese medicine prescription, prescription can be quantitative assessment for digital resources and, without human intervention cases independently by computer processing of data resources, to make the knowledge derived from conclusions more objectivity. This helps us better inheritance and master of Chinese medicine for the treatment of vomiting in the experiences and methods of disease. Also to provide clinicians with an objective and informative theoretical support.In the data we found part of conclusion and past the clinical and theoretical experience is not compatible, it shows that the data structure and data mining methods and further improve and enhance the necessary. In addition, this research also has its own shortcomings, which included prescription may be incomplete, errors or omissions in the place, the finishing work to further revise and improve the.