Cluster analysis for syndromes of real-world coronary heart disease with angina pectoris / 医学前沿

Syndromes of coronary heart disease with angina pectoris were analyzed to provide guidance for clinical practice and to improve accuracy of traditional Chinese medicine (TCM) diagnoses and efficacy of TCM treatment. A total of 860 cases with coronary heart disease with angina pectoris were selected from TCM Clinical Research Information Sharing System for TCM clinics and research. Syndromes were automatically extracted with the cluster method and were analyzed to provide objective evidence for clinical studies. Final syndrome classifications were recognized and confirmed by clinical experts. Popular syndromes included Qi and blood deficiency, blood stasis and obstruction collaterals, liver depression and spleen deficiency, and Qi stagnation and blood stasis. Syndromes Qi and blood deficiency and blood stasis and obstruction collaterals accounted for 28.61% of total syndromes, whereas liver depression and spleen deficiency and Qi stagnation and blood stasis accounted for 26.44%. The main syndrome elements comprised Qi deficiency, blood deficiency, blood stasis, and Qi stagnation.

Research progress in Chinese clinical medical data analysis and mining / 国际生物医学工程杂志

With the development of computing and storage techniques,there are a lot of medical records and clinical data stored.It raises the issue of how to mine knowledge from these records and to promote the development of traditional Chinese medicine (TCM).Several challenging research subjects of Chinese clinical medicine data mining and analysis have been introduced in the framework of disease-symptom-syndrome-formulaeffect,and the corresponding developments have also been reported.The significant meaning of the data mining and analysis to Chinese medicine is discussed.Then,the detailed works and recent achievements of seven subjects are given including:① Analysis of symptoms to obtain the optimal symptom subset for one disease or syndrome.② Symptom-syndrome or disease to obtain models for syndrome differentiation.③ Analysis of syndrome.④Analysis of Core formula as well as drug addition and subtraction.⑤ Formula-symptom-effect.⑥ Computerized symptoms.⑦ TCM knowledge engineering.