基于Python的辽宁省医疗发展数据分析与可视化  

Analysis and visualization of medical development data in Liaoning Province based on Python

作　　者：安紫涵 蒋苏敏 AN Zihan;JIANG Sumin(Dalian University of Foreign Languages,Dalian,Liaoning 116044,China)

机构地区：[1]大连外国语大学,辽宁大连116044

出　　处：《计算机应用文摘》2025年第9期260-262,共3页

摘　　要：文章基于Python编程语言,从医疗卫生机构、村卫生室、卫生人员数据以及社会保障4个维度,深入分析和可视化辽宁省医疗发展数据。通过应用Matplotlib和PyEcharts等工具库,绘制可视化图表,直观展示辽宁省医疗资源数据的数量变化趋势、地区分布差异以及人员构成情况。同时,构建了城镇基本医疗保险年末参保人数与相关因素之间的多元回归模型,结果表明该模型整体呈显著线性关系,且拟合效果良好。The article is based on the Python programming language and analyzes and visualizes the medical development data of Liaoning Province from four dimensions:medical and health institutions,village clinics,health personnel data,and social security.By using tool libraries such as Matplotlib and PyEcharts,visual charts are drawn to visually display the trend of changes in the quantity of medical resource data,regional distribution differences,and personnel composition in Liaoning Province.At the same time,a multiple regression model was constructed between the year-end insured population of urban basic medical insurance and related factors.The results showed that the model exhibited a significant linear relationship as a whole,and the fitting effect was good.

关 键 词：PYTHON 医疗发展 多元回归模型 数据分析 数据可视化 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]