Analysis on Zhong Yi-tang's Medication Rule in Prescriptions for Insomnia Based on Data Mining Method / 浙江中医药大学学报

Objective] To analyze the medication experience of Zhong Yi-tang for insomnia by using TCM inheritance support system 1.1ver.[Methods] The prescriptions of Zhong Yi-tang for insomnia were collected and input the data into TCM inheritance support system .The frequency and association rules of drugs were calculated by using data mining methods such as apfiofi algorithm,complex system entropy cluster and unsupervised hierarchical cluster,and medication rule of Zhong Yi-tang for epigastric pain was analyzed.[Results] Based on the analysis of 354 prescriptions, the frequency of each herb and association rules among the herbs were computed. Spine date seed, tuber fleeceflower stem, paeony, red sage root, boxthorn and Chinese Date were highly frequently found, 18 pairs of Chinese medicines based on these and 5 core combinations such as ganmai-dazao decoction were mined out . [Conclusion] Zhong Yi-tang usually used ganmai-dazao decoction, spine date seed, tuber fleeceflower stem and red sage root to cure insomnia. The sweet and moistening Chinese medcine were used to strengthen-spleen-stomach, benefiting ying-blood, and nourishing the heart-blood. Data mining method can be used to analyze old TCM doctors’clinical experience.

Signal Detection of Adverse Drug Reactions / 薬剤疫学

During the post-approval period, hypotheses about potentially new adverse drug reactions (ADR) have traditionally emerged from passive surveillance systems that collect large volumes of spontaneous case reports of suspected adverse drug reactions. With signal detection by traditional (or conventional, or manual) methods, quantitative (or statistical, or automated) methods for spontaneous reporting system (SRS) databases were introduced in the late 1990’s in order to detect serious ADR as early as possible. Most quantitative methods rely on comparisons of relative reporting frequencies, also known as disproportionality analyses. In FY 2009, the Pharmaceuticals and Medical Device Agency (PMDA) plans to introduce the quantitative methods (data mining method) used on Japanese SRS database. This paper introduces the recent situation on signal detection and signal management of adverse drug reactions.