基于电子病历信息大数据挖掘的患者就医行为分析

在对就医行为和大数据挖掘及关联规则进行文献综述的基础上，介绍大数据挖掘及关联规则算法——Apriori算法的基本内容。以郑州大学第一附属医院部分电子病历系统数据为基础，采用关联规则的Apriori算法对患者的性别、年龄、手术记录、危重记录、就诊距离、住院天数等因素进行挖掘分析，得出不同就诊距离患者的就医行为规律，提出相关政策和建议。

Analysis on Medical Behaviors of Patients Based on Big Data Mining of Electronic Medical Records(EMR) Information

Based on the literature review of medical behaviors, big data mining and related rules, the paper introduces the basic contents of big data mining and related rule algorithm-Apriori algorithm, takes partial Electronic Medical Records(EMR) system data of the First Affiliated Hospital of Zhengzhou University as the basis, conducts mining analysis on factors such as the gender, age, operation records, critical ill records, visiting distance and hospital days of a patient by adopting Apriori algorithm of related rule, obtains the rules of medical behaviors of patients of different visiting distances, and puts forward relevant policies and suggestions.