摘要
为解决各大医院医疗数据分析处理效率低、不及时问题,文章应用数据挖掘技术,设计一种高效的医疗数据分析算法。首先,根据区块链技术相关概念,完成对OpenAPI工作流设计;其次,从预处理数据库、异常数据检测诊断、训练数据挖掘模型权重三个方面入手,完成对基于数据挖掘的网络医疗数据分析算法设计;最后,对文章算法进行验证。结果表明:文章算法可获得较高的准确度,其准确度高达99.2%,满足不同时间跨度医疗数据的精确化分析需求。
In order to solve the problem of low efficiency and untimely medical data analysis and processing in major hospitals,this paper uses data mining technology to design an efficient medical data analysis algorithm.First of all,ac-cording to the blockchain technology related concepts,complete the design of OpenAPI workflow.Secondly,from the three aspects of pre-processing database,abnormal data detection and diagnosis,training data mining model weight,complete the design of network medical data analysis algorithm based on data mining.Finally,the algorithm is veri-fied.The results show that the proposed algorithm can achieve a high accuracy of 99.2%,meeting the need for accu-rate analysis of medical data across various time spans.
作者
刘子义
Liu Ziyi(Hunan University of Science and Engineering,Yongzhou 425199,China)
出处
《办公自动化》
2024年第12期26-28,51,共4页
Office Informatization
关键词
数据挖掘
区块链技术
网络数据
信息分析算法
data mining
blockchain technology
network data
information analysis algorithm
