本研究探讨了疾病诊断相关分组(diagnosis related groups,DRG)系统在新疆地区住院患者疾病负担中的应用。通过对现有DRG系统的局限性进行深入分析,研究提出针对新疆地区的系统优化策略。利用大数据分析技术,研究整合并分析新疆多家医...本研究探讨了疾病诊断相关分组(diagnosis related groups,DRG)系统在新疆地区住院患者疾病负担中的应用。通过对现有DRG系统的局限性进行深入分析,研究提出针对新疆地区的系统优化策略。利用大数据分析技术,研究整合并分析新疆多家医院的住院数据,通过实证案例,验证了优化后DRG系统在疾病分类、资源分配和费用控制方面的有效性。结果显示,优化后的DRG系统能够更加精准地反映新疆地区的医疗需求,提升了医疗服务的质量与效率。研究还探讨了DRG系统在新疆进一步发展的方向与重点,指出加强大数据处理能力和算法的精准度是未来发展的关键。展开更多
Objective To understand the development status of traditional Chinese medicine extraction technology,so as to provide a reference for enterprises and scientific research institutions to determine the direction of tech...Objective To understand the development status of traditional Chinese medicine extraction technology,so as to provide a reference for enterprises and scientific research institutions to determine the direction of technological innovation.Besides,the government can formulate scientific and technological innovation strategies.Methods Based on patent information,statistical methods were applied to analyze the development of traditional Chinese medicine extraction technology.Then,the core technology was identified by constructing a patent citation network.Finally,the main path analysis method was applied to discover the technological evolution path.Results and Conclusion The extraction technology of traditional Chinese medicine is still in the growth stage.At present,its R&D is based on enterprises,supplemented by scientific research institutions.The core technologies are ultrasonic extraction and enzymatic extraction.The main path represented by enzymatic extraction technology reveals the evolution process of traditional Chinese medicine extraction technology.Based on this,relevant suggestions are put forward.Firstly,technological innovation cooperation should be strengthened to explore new models of achievement transformation and cooperation.Secondly,key enterprises of technology clusters should be cultivated to accelerate breakthroughs in core technologies.Thirdly,combined technologies can achieve high-efficiency enzyme-assisted extraction and open up new ways of extracting traditional Chinese medicine.Fourthly,traditional techniques should be improved to develop innovative modern techniques.展开更多
基于差分隐私的时间序列模式挖掘方法中,序列的最大长度以及添加拉普拉斯噪声的多少直接制约着挖掘结果的可用性.针对现有时间序列模式挖掘方法全局敏感度过高、挖掘结果可用性较低的不足问题,提出了一种基于序列格的差分隐私下时间序...基于差分隐私的时间序列模式挖掘方法中,序列的最大长度以及添加拉普拉斯噪声的多少直接制约着挖掘结果的可用性.针对现有时间序列模式挖掘方法全局敏感度过高、挖掘结果可用性较低的不足问题,提出了一种基于序列格的差分隐私下时间序列模式挖掘方法PrivTSM(Differentially Private Time Series Pattern Mining).该方法首先利用最长路径的策略对原始数据库进行截断处理;在此基础上,采用表连接操作生成满足差分隐私的序列格;结合序列格结构本身的特性,合理分配隐私预算,提高输出模式的可用性.理论分析表明PrivTSM方法满足ε-差分隐私,基于真实数据库上实验结果表明,PrivTSM方法的准确率TPR(True Postive Rate)和平均相对误差ARE(Average Relative Error)明显优于N-gram和Prefix-Hybrid方法.展开更多
基于本地差分隐私的用户数据收集与分析得到了研究者的广泛关注.用户数据的值域大小、编码机制以及扰动机制直接制约着空间范围查询的精度.针对现有编码机制与扰动机制难以有效响应空间范围查询的不足,提出了一种基于网格分割与四分树...基于本地差分隐私的用户数据收集与分析得到了研究者的广泛关注.用户数据的值域大小、编码机制以及扰动机制直接制约着空间范围查询的精度.针对现有编码机制与扰动机制难以有效响应空间范围查询的不足,提出了一种基于网格分割与四分树索引的空间范围查询响应方法GT-R(grid-based quadtree range query),该方法利用网格对用户数据的值域进行均匀分割,产生大小均等的单元格区域.同时利用四分树结构对所有单元格区域进行索引.每个用户结合服务器共享的四分树副本,对所拥有的数据进行编码.借助于编码后的四分树进行层次随机采样,并利用优化随机应答机制对所采层次中的结点进行本地扰动处理.服务器利用每个用户的报告值重构四分树索引结构,并响应空间范围查询.GT-R与现有的编码机制与扰动机制在真实的大规模空间数据集上实验结果表明,其分割精度以及响应范围查询效果优于同类算法.展开更多
文摘本研究探讨了疾病诊断相关分组(diagnosis related groups,DRG)系统在新疆地区住院患者疾病负担中的应用。通过对现有DRG系统的局限性进行深入分析,研究提出针对新疆地区的系统优化策略。利用大数据分析技术,研究整合并分析新疆多家医院的住院数据,通过实证案例,验证了优化后DRG系统在疾病分类、资源分配和费用控制方面的有效性。结果显示,优化后的DRG系统能够更加精准地反映新疆地区的医疗需求,提升了医疗服务的质量与效率。研究还探讨了DRG系统在新疆进一步发展的方向与重点,指出加强大数据处理能力和算法的精准度是未来发展的关键。
文摘Objective To understand the development status of traditional Chinese medicine extraction technology,so as to provide a reference for enterprises and scientific research institutions to determine the direction of technological innovation.Besides,the government can formulate scientific and technological innovation strategies.Methods Based on patent information,statistical methods were applied to analyze the development of traditional Chinese medicine extraction technology.Then,the core technology was identified by constructing a patent citation network.Finally,the main path analysis method was applied to discover the technological evolution path.Results and Conclusion The extraction technology of traditional Chinese medicine is still in the growth stage.At present,its R&D is based on enterprises,supplemented by scientific research institutions.The core technologies are ultrasonic extraction and enzymatic extraction.The main path represented by enzymatic extraction technology reveals the evolution process of traditional Chinese medicine extraction technology.Based on this,relevant suggestions are put forward.Firstly,technological innovation cooperation should be strengthened to explore new models of achievement transformation and cooperation.Secondly,key enterprises of technology clusters should be cultivated to accelerate breakthroughs in core technologies.Thirdly,combined technologies can achieve high-efficiency enzyme-assisted extraction and open up new ways of extracting traditional Chinese medicine.Fourthly,traditional techniques should be improved to develop innovative modern techniques.
文摘基于差分隐私的时间序列模式挖掘方法中,序列的最大长度以及添加拉普拉斯噪声的多少直接制约着挖掘结果的可用性.针对现有时间序列模式挖掘方法全局敏感度过高、挖掘结果可用性较低的不足问题,提出了一种基于序列格的差分隐私下时间序列模式挖掘方法PrivTSM(Differentially Private Time Series Pattern Mining).该方法首先利用最长路径的策略对原始数据库进行截断处理;在此基础上,采用表连接操作生成满足差分隐私的序列格;结合序列格结构本身的特性,合理分配隐私预算,提高输出模式的可用性.理论分析表明PrivTSM方法满足ε-差分隐私,基于真实数据库上实验结果表明,PrivTSM方法的准确率TPR(True Postive Rate)和平均相对误差ARE(Average Relative Error)明显优于N-gram和Prefix-Hybrid方法.
文摘基于本地差分隐私的用户数据收集与分析得到了研究者的广泛关注.用户数据的值域大小、编码机制以及扰动机制直接制约着空间范围查询的精度.针对现有编码机制与扰动机制难以有效响应空间范围查询的不足,提出了一种基于网格分割与四分树索引的空间范围查询响应方法GT-R(grid-based quadtree range query),该方法利用网格对用户数据的值域进行均匀分割,产生大小均等的单元格区域.同时利用四分树结构对所有单元格区域进行索引.每个用户结合服务器共享的四分树副本,对所拥有的数据进行编码.借助于编码后的四分树进行层次随机采样,并利用优化随机应答机制对所采层次中的结点进行本地扰动处理.服务器利用每个用户的报告值重构四分树索引结构,并响应空间范围查询.GT-R与现有的编码机制与扰动机制在真实的大规模空间数据集上实验结果表明,其分割精度以及响应范围查询效果优于同类算法.
