基于居民健康档案与大数据挖掘技术的慢病控制模型设计

Analysis of chronic disease control strategy based on the residents' health records and data mining technology

根据2017年国家基本公共卫生服务规范中的规定,各地市建立居民健康档案数据平台以收集与监控居民的健康状况。为解决慢病患者管理难照护难的问题,本文利用健康档案数据对慢病数据进行分析,提出了健康档案数据库建立方法,并利用回归与神经网络方法建立了高血压慢病指数与预测模型。本文提出的模型方法可以较好的实时监测区域高血压发病情况,并对区域高血压人群发病率进行预测。

The Health Records Of Residents make the standard and scientific records of the physical and mental health process of the residents.According to the Regulation Of The National Basic Health Service in 2017,residents in all cities set up the data platform for residents' health records to collect and monitor the residents' health.Chronic disease is a general term for diseases that do not constitute infection and have long-term accumulation to form diseases.Usually,once the disease occurs,it needs lifelong medication,causing great pain to people,and causing great pressure to the government's health care finance.Therefore,the control of the various processes of the Chronic disease is an important part of the work of the government.The Residents'Health Records collect a large number of health related data of residents,and analyzed the residents'health records through the big data related technology.The paper put forward chronic disease control strategy.The paper based on the analysis of hypertension in Jiangxi and discusses the specific implementation path of big data technology to identify The Health Records Of Residents in chronic disease control.