本文選題：數(shù)據(jù)可視化 + 醫(yī)療保險�。� 參考：《江蘇大學(xué)》2017年碩士論文

【摘要】：醫(yī)療保險在保障人民身體健康和維護社會穩(wěn)定等方面起著至關(guān)重要的作用,鑒于醫(yī)療保險涉眾多,覆蓋面廣,數(shù)據(jù)量累積日益龐大,傳統(tǒng)的對醫(yī)�；鸬倪\管分析方式劣勢凸顯。鑒于數(shù)據(jù)可視化在數(shù)據(jù)分析和展現(xiàn)方面的領(lǐng)先優(yōu)勢,將其引入醫(yī)療保險的基金運作分析,高效地為管理者提供決策依據(jù)已成為一種發(fā)展趨勢。本文以數(shù)據(jù)可視化為支撐,針對醫(yī)�；饠�(shù)據(jù)特征,從數(shù)據(jù)獲取、展示、分析以及交互多個環(huán)節(jié)進行了研究。以視圖揭示數(shù)據(jù)內(nèi)在價值為目的,通過數(shù)據(jù)可視分析,體現(xiàn)不同數(shù)據(jù)集以及不同數(shù)據(jù)維度之間的關(guān)聯(lián)度;通過對數(shù)據(jù)橫向?qū)Ρ群涂v向鉆取,達到對醫(yī)�；饠�(shù)據(jù)進行多角度和多維度地分析對比。論文的主要工作如下:1、研究了數(shù)據(jù)可視化流程模型,分析了數(shù)據(jù)可視化系統(tǒng)主要功能,并對不同的可視化圖表進行了分類,為可視化系統(tǒng)的設(shè)計奠定基礎(chǔ)。針對可視化系統(tǒng)的實現(xiàn)技術(shù),討論了兩個主流的可視化開源庫。2、分析了醫(yī)�；鸬氖罩ЫM成和影響因素,針對數(shù)據(jù)的特征,基于多維數(shù)據(jù)分析法,構(gòu)建了數(shù)據(jù)分析模型,通過與數(shù)據(jù)可視化模型的綁定,完成數(shù)據(jù)不同可視形式的展現(xiàn)。進行了領(lǐng)域的應(yīng)用分析,確定可視化系統(tǒng)的功能。3、為了解決不同數(shù)據(jù)庫廠商應(yīng)用接口的差異性以及可視化元素的可動態(tài)配置,達到數(shù)據(jù)與應(yīng)用程序解耦以及提高數(shù)據(jù)可視化展現(xiàn)的可動態(tài)變化,在MVC可視化模型的研究基礎(chǔ)上,提出基于Ajax的多視圖協(xié)作MVC可視化模型。4、基于系統(tǒng)的設(shè)計目標,對系統(tǒng)的體系結(jié)構(gòu)、數(shù)據(jù)采集、可視化控件配置,以及可視化視圖展示等模塊進行了詳細設(shè)計,詳細闡述了可視化模型設(shè)計中的多視圖之間上下文關(guān)系以及事件注冊機制。最后,對數(shù)據(jù)庫進行詳細設(shè)計。5、在詳細設(shè)計的基礎(chǔ)上,實現(xiàn)可視化系統(tǒng),并對系統(tǒng)的運行流程進行一系列的界面展示。
[Abstract]:Medical insurance plays a vital role in safeguarding the health of the people and maintaining social stability. In view of the large number of medical insurance and its wide coverage, the amount of data accumulated is increasing. The disadvantage of the traditional analysis of medical insurance fund is prominent. In view of the leading advantage of data visualization in data analysis and presentation, it has become a development trend to introduce it into the fund operation analysis of medical insurance and provide the decision basis for managers efficiently. Based on data visualization, this paper studies the data acquisition, presentation, analysis and interaction of medical insurance fund. In order to reveal the intrinsic value of the data in view, through the visual analysis of data, the correlation degree between different data sets and different data dimensions is reflected, and the horizontal comparison and vertical drilling of data, To achieve a multi-angle and multi-dimensional analysis and comparison of health insurance fund data. The main work of this paper is as follows: 1. This paper studies the data visualization flow model, analyzes the main functions of the data visualization system, and classifies different visualization charts, which lays a foundation for the design of the visualization system. Aiming at the realization technology of the visualization system, this paper discusses two main visual open source libraries. 2, analyzes the income and expenditure composition and influencing factors of the medical insurance fund, and constructs the data analysis model based on the multidimensional data analysis method in view of the characteristics of the data. Through binding with the data visualization model, the display of different visual forms of data is completed. In order to solve the differences of application interfaces of different database manufacturers and the dynamic configuration of visual elements, the function of visual system. In order to decouple the data from the application program and improve the dynamic change of the visualization display of the data, based on the research of the MVC visual model, the paper puts forward the multi-view collaborative MVC visual model. 4, based on the design goal of the system. The system architecture, data acquisition, visual control configuration, visual view display and other modules are designed in detail. The context relationship between multiple views and the mechanism of event registration in visual model design are described in detail. Finally, the database is designed in detail. On the basis of the detailed design, the visual system is realized, and a series of interface display for the running process of the system is carried out.
【學(xué)位授予單位】：江蘇大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：R197.1;F842.684;TP311.13

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