The Data Mining Research On Insomnia Cases Of Modern Famous TCM Physicians

This paper focus on syndrome name evolution of insomnia, predisposing factors and the pathogenesis of the sort by the Chinese literature research methods of distinguishing the academic chapter and examining the mirror source. On this basis, using data mining methods as frequency statistics, cluster analysis, factor analysis and so on, the paper made a deep excavation and analysis on the collected data for clinical diagnosis and treatment in modern Chinese medicine insomnia medical records, and then summarized the clinical treatment of insomnia dialectical thinking and drug law.Through the statistic analysis, a modern famous TCM physician diagnosis and treatment of insomnia often discuss the pathogenesis from the perspective of yin and yang, qi and blood disorders, and lesionsite involving the heart, the liver and the kidney. The common syndrome types are the disharmony of heart and kidney syndrome, heart and spleen deficiency syndrome, hyperactive liver yang syndrome and blood stasis syndrome, or many syndromes and conditions coexisted. The main insomnia diseasesyndrome models are three kinds: the first type which is easy to wake up can be seen commonly in the syndrome of deficiency heart qi and gallbladder qi; the second type which has sleep problems can be seen commonly in the syndrome of deficiency of heart qi and spleen qi; the third type which can’t sleep through the nightis can be seen commonly in the syndrome of the disharmony of heart and kidney.By using cluster analysis method analysized the clinical common couple drugs which famous TCM physicians often used to treat insomnia, we studyed on their composition and effect, researched the precipitation and then summed up the commonly used prescription in clinical treatment of insomnia, the herbs’ plus or minus changes that doctors uses in treating different syndromes with the same basic treatment; and study on modern famous TCM physicians’ special treatment of insomnia medication. The research results play an important guiding role in clinical research and clinical diagnosis and treatment.