基于MogoDB数据库的临床医疗大数据挖掘案例分析  

A Case Study of Clinical Medical Big Data Mining Based on MongoDB Database

作　　者：胡皓皓 胡昌盛[2] HU Haohao;HU Changsheng(South China Institute of Software Engineering,Guangzhou University,Guangzhou,Guangdong Province,510990 China;Guangzhou University of Chinese Medicine,Guangzhou,Guangdong Province,510006 China)

机构地区：[1]广州大学华软软件学院,广东广州510990 [2]广州中医药大学,广东广州510006

出　　处：《科技创新导报》2021年第3期108-110,共3页Science and Technology Innovation Herald

摘　　要：随着医疗大数据时代的到来,从大量原始数据中挖掘出相关有用的信息,对治病防病及医疗决策进行有效辅助,起到非常好的作用。本文基于MongoDB数据库,利用Python编程语言,编写数据处理程序,通过将原始的多个数据表入库转换,找出已治愈患者,在此基础上找出复燃、复发患者并筛选出没有重复的数据;通过多进程提高处理速度。最后结果达到了预期,为相关医务人员提供了诊断及决策依据。With the advent of the era of medical big data,mining relevant useful information from a large number of original data plays a very good role in effectively assisting the treatment and prevention of diseases and medical decision-making.In this paper,based on MongoDB database,using Python programming language,we write a data processing program.Through putting the original data tables into the database and transforming,we find out the cured patients.On this basis,we find out the recurrent patients,and screen out the data without duplication.We improve the processing speed through multi-processing.Finally,the results achieved the expected results,and provided the basis for diagnosis and decision-making for relevant medical staff.

关 键 词：PYTHON MongoDB数据库 大数据 数据挖掘 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]