首页 | 本学科首页   官方微博 | 高级检索  
     

基于量子计算的医疗数据敏感度度量
引用本文:李晓峰,焦洪双,王妍玮. 基于量子计算的医疗数据敏感度度量[J]. 计算机技术与发展, 2021, 0(1): 187-191,197
作者姓名:李晓峰  焦洪双  王妍玮
作者单位:黑龙江外国语学院信息工程系;普度大学机械工程系
基金项目:国家自然科学基金资助项目(61803117);教育部科技发展中心产学研创新基金(2018A01002);国家科技部创新方法专项(2017IM010500)
摘    要:针对传统的医疗数据敏感度度量方法存在的度量开销大、数据查准率和查全率低的问题,提出基于量子计算的医疗数据敏感度度量方法.首先采用分布式样本重构方法重组医疗数据的分布式结构,建立医疗数据敏感度度量的统计分析模型;其次采用量化回归分析方法进行医疗数据的模糊融合和聚类分析,建立其定量递归分析模型;最后采用量子计算方法进行医疗...

关 键 词:量子计算  医疗数据  敏感度  度量  统计分析  模糊融合  聚类分析  全局规划

Sensitivity Measurement of Medical Data Based on Quantum Computing
LI Xiao-feng,JIAO Hong-shuang,WANG Yan-wei. Sensitivity Measurement of Medical Data Based on Quantum Computing[J]. Computer Technology and Development, 2021, 0(1): 187-191,197
Authors:LI Xiao-feng  JIAO Hong-shuang  WANG Yan-wei
Affiliation:(Department of Information Engineering,Heilongjiang International University,Harbin 150025,China;Department of Mechanical Engineering,Purdue University,West Lafayette IN47906,US)
Abstract:In order to address the problems existing in the traditional medical data sensitivity measurement methods,such as high measurement cost,low accuracy and low recall rate,a medical data sensitivity measurement method based on quantum computing is proposed.First,the distributed sample reconstruction method is used to reconstruct the distributed structure of medical data and establish the statistical analysis model of medical data sensitivity measurement.Secondly,the fuzzy fusion and clustering analysis of medical data are carried out by quantitative regression analysis method,and the quantitative recursive analysis model is established.Finally,the quantum computing method is used for adaptive optimization control in the process of medical data sensitivity measurement,the quantum optimization constraint evolution model is established,and the dynamic global programming method is used to measure the sensitivity of medical data.Experiment shows that the proposed method has a strong statistical analysis ability to measure the sensitivity of medical data,a low cost of measuring time,and a high precision and recall rate of sensitive data,which improves the retrieval and feature resolution ability of medical data and effectively realizes the statistical analysis and detection measurement of medical data.
Keywords:quantum computing  medical data  sensitivity  measurement  statistical analysis  fuzzy fusion  clustering analysis  global planning
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号