目的:通过文献研究,并运用数学方法进行数据挖掘,探讨补益方药对慢性阻塞性肺疾病(COPD)模型的药理作用,为CO PD中医药防治提供证据。方法:以中国学术期刊全文数据库(C N KI)、中文科技期刊数据库(VIP)、万方数据库、中国生物医学文献...目的:通过文献研究,并运用数学方法进行数据挖掘,探讨补益方药对慢性阻塞性肺疾病(COPD)模型的药理作用,为CO PD中医药防治提供证据。方法:以中国学术期刊全文数据库(C N KI)、中文科技期刊数据库(VIP)、万方数据库、中国生物医学文献数据库(CBM)为数据源。以"慢性阻塞性肺疾病"、"COPD"、"中医"、"中医药"、"动物"、"鼠"为检索词检索相关文献,对纳入的合格文献进行数据预处理后,运用"比值法"和"积分法"两种数学方法进行数据分析,并进行等级排序。结果:对纳入的合格文献100篇中的141项指标进行数理分析,结果显示:与对照组相比,补益方药能够明显提高COPD模型的呼吸气幅度比、第0.2s用力呼气容积(FEV0.2)、FEV0.3、用力中期呼气流速(PEF25-75)、最大呼幅、FEV1、用力肺活量(FVC)、肺动态顺应性(CL)、血氧饱和度(SaO2),降低右心室/左心室+空间膈重量比值(RV/LV+S)、平均脉动脉压(MPAP)、纤维蛋白原(FIB),增加肺干湿比重和单位面积肺泡数、减轻中等气道基底膜单位长度管壁厚度和小气道胶原厚度、减少肺泡间隔细胞凋亡指数(AI)、减轻支气管管径狭窄程度,支气管肺泡灌洗液(BALF)中以降低白细胞总数、中性粒细胞数和内皮素(ET-1)、升高白介素-2(IL-2)、IL-2/IL-4明显,血清中以升高IL-10、一氧化氮(NO)水平、降低白三烯B4(LTB4)、核因子-κB(NF-κB)明显。而对呼气阻力(Re)、吸气阻力(Ri)、全血黏度、红细胞压积等指标影响较小。结论:补益方药能够通过改变气道阻塞和肺组织病理状态、降低炎症水平、提高机体营养和免疫状态等而改善COPD的严重程度。本研究为基于COPD疾病评价补益方药的疗效或探讨其机制提供依据。展开更多
In many applications, it is desirable to sort the data. Most of previous work on sorting are key based, however, there are no apparent keys for the time-series data and therefore the classic sorting algorithms may fai...In many applications, it is desirable to sort the data. Most of previous work on sorting are key based, however, there are no apparent keys for the time-series data and therefore the classic sorting algorithms may fail in sorting time-series data. We propose a novel technique, called TS-Sort, to sort time-series sequences in the massive set. The proposed method first extracts the maximum and minimum boundaries of the set, then calculates the distance values between the sequences to the boundaries, and finally sorts the values to determine the relative orders of sequences in the set. For improvement, we propose a partition based version of the algorithm, which puts the sequences into small groups, and sorts the groups to get the final sorted set. Extensive experiments, both on synthetic and real datasets, show that our approach can be used to make the time series set in order, and there is a factor of up to 26.3% accelerating for the improved version of the method.展开更多
文摘目的:通过文献研究,并运用数学方法进行数据挖掘,探讨补益方药对慢性阻塞性肺疾病(COPD)模型的药理作用,为CO PD中医药防治提供证据。方法:以中国学术期刊全文数据库(C N KI)、中文科技期刊数据库(VIP)、万方数据库、中国生物医学文献数据库(CBM)为数据源。以"慢性阻塞性肺疾病"、"COPD"、"中医"、"中医药"、"动物"、"鼠"为检索词检索相关文献,对纳入的合格文献进行数据预处理后,运用"比值法"和"积分法"两种数学方法进行数据分析,并进行等级排序。结果:对纳入的合格文献100篇中的141项指标进行数理分析,结果显示:与对照组相比,补益方药能够明显提高COPD模型的呼吸气幅度比、第0.2s用力呼气容积(FEV0.2)、FEV0.3、用力中期呼气流速(PEF25-75)、最大呼幅、FEV1、用力肺活量(FVC)、肺动态顺应性(CL)、血氧饱和度(SaO2),降低右心室/左心室+空间膈重量比值(RV/LV+S)、平均脉动脉压(MPAP)、纤维蛋白原(FIB),增加肺干湿比重和单位面积肺泡数、减轻中等气道基底膜单位长度管壁厚度和小气道胶原厚度、减少肺泡间隔细胞凋亡指数(AI)、减轻支气管管径狭窄程度,支气管肺泡灌洗液(BALF)中以降低白细胞总数、中性粒细胞数和内皮素(ET-1)、升高白介素-2(IL-2)、IL-2/IL-4明显,血清中以升高IL-10、一氧化氮(NO)水平、降低白三烯B4(LTB4)、核因子-κB(NF-κB)明显。而对呼气阻力(Re)、吸气阻力(Ri)、全血黏度、红细胞压积等指标影响较小。结论:补益方药能够通过改变气道阻塞和肺组织病理状态、降低炎症水平、提高机体营养和免疫状态等而改善COPD的严重程度。本研究为基于COPD疾病评价补益方药的疗效或探讨其机制提供依据。
基金the Project of Secure and Intelligent Data Integration Platform of China under Grant No. 2005-538.
文摘In many applications, it is desirable to sort the data. Most of previous work on sorting are key based, however, there are no apparent keys for the time-series data and therefore the classic sorting algorithms may fail in sorting time-series data. We propose a novel technique, called TS-Sort, to sort time-series sequences in the massive set. The proposed method first extracts the maximum and minimum boundaries of the set, then calculates the distance values between the sequences to the boundaries, and finally sorts the values to determine the relative orders of sequences in the set. For improvement, we propose a partition based version of the algorithm, which puts the sequences into small groups, and sorts the groups to get the final sorted set. Extensive experiments, both on synthetic and real datasets, show that our approach can be used to make the time series set in order, and there is a factor of up to 26.3% accelerating for the improved version of the method.
