ABSTRACT
This study was aimed to explore and summarize traditional Chinese medicine (TCM) syndrome differentiation of chronic bronchial asthma,in combination with characteristics of clinical TCM syndrome,clinical phenotype of asthma and the research of genomics in order to provide references.This study was conducted by the method of combining retrospective literature research and clinical epidemiological survey,designing and inducing the formation of chronic duration of bronchial asthma in TCM syndrome observation table,through literature research and analysis and pre-survey feedback information revision method.The four diagnostic data of 204 cases was collected and filled in the observation table.With the help of SPSS22 statistical analysis software,the database was established and the method of cluster analysis was applied to induce the basic TCM syndrome types of chronic bronchial asthma.The results showed that bronchial asthma chronic persistent period was divided into two basic syndromes,which were the cold-deficiency syndrome and heat-deficiency syndrome.It was concluded that the clinical phenotype of bronchial asthma chronic duration was explored for further research on the relationship between TCM syndrome differentiation of cold and heat as well as the modem medicine genomics to provide research data.
ABSTRACT
Traditional Chinese medicine (TCM) clinical symptoms, which were main evidences in syndrome differentiation and treatment, were also main data in the clinical individual diagnosis and treatment. However, the absence of high-quality symptom ontology was still obvious in TCM clinical and data using. By analyzing the research and data of clinical phenotype ontologies associated with symptoms, this paper was aimed to introduce and sort the existing ontologies, in order to discuss related problems. Furthermore, we provided ideas and expound the importance of building data network of symptoms, diseases, genes, drugs, chemicals, side effects with the data we collected and disposed around symptoms, in order to construct TCM clinical phenotype ontology. We believed that our work will help the development of individual treatment and precision medicine in TCM. It was also the key of individual big data analysis which was urgent need to promote.