發(fā)布時(shí)間：2018-06-23 11:48

  本文選題：養(yǎng)老服務(wù) + 電子健康檔案��； 參考：《哈爾濱工業(yè)大學(xué)》2017年碩士論文

【摘要】：隨著我國(guó)老齡化速度加快,養(yǎng)老服務(wù)需求不斷增多,養(yǎng)老服務(wù)模式越來(lái)越多樣化,而老人電子健康檔案不夠完善,缺乏數(shù)據(jù)規(guī)范,不能在多種養(yǎng)老模式之間共享老人的健康信息。因此,老人電子健康檔案標(biāo)準(zhǔn)化管理變得尤為重要。為此本文將設(shè)計(jì)并實(shí)現(xiàn)面向養(yǎng)老服務(wù)的電子健康檔案系統(tǒng),將建立面向養(yǎng)老服務(wù)的電子健康檔案數(shù)據(jù)模型,設(shè)計(jì)基于數(shù)據(jù)模型的數(shù)據(jù)融合與共享方案,提出基于Naive Bayes和Logistics Regression的老人健康分析模型的構(gòu)建方法,詳細(xì)設(shè)計(jì)關(guān)鍵功能模塊并實(shí)現(xiàn)面向養(yǎng)老服務(wù)的電子健康檔案系統(tǒng)。具體包括以下幾方面工作:首先,針對(duì)面向養(yǎng)老服務(wù)的電子健康檔案缺乏標(biāo)準(zhǔn)化管理的問(wèn)題,提出面向養(yǎng)老服務(wù)的電子健康檔案標(biāo)準(zhǔn)化需求,建立面向養(yǎng)老服務(wù)的電子健康檔案數(shù)據(jù)模型,采集各個(gè)不同機(jī)構(gòu)的健康數(shù)據(jù)項(xiàng),抽象數(shù)據(jù)項(xiàng)的概念為類(lèi),標(biāo)準(zhǔn)化類(lèi)的屬性,通過(guò)值域代碼表規(guī)范化屬性的值域,從而指導(dǎo)數(shù)據(jù)庫(kù)的建立和系統(tǒng)的實(shí)現(xiàn)。其次,針對(duì)老人健康數(shù)據(jù)在養(yǎng)老與醫(yī)療領(lǐng)域中缺乏互聯(lián)互通的問(wèn)題,在面向養(yǎng)老服務(wù)的電子健康檔案數(shù)據(jù)模型的基礎(chǔ)上,設(shè)計(jì)數(shù)據(jù)融合與共享方案,為系統(tǒng)設(shè)計(jì)公共Web API,并按照數(shù)據(jù)模型規(guī)定返回?cái)?shù)據(jù)的格式,從而解決語(yǔ)義異構(gòu)問(wèn)題,并通過(guò)用戶、菜單和角色的維護(hù)實(shí)現(xiàn)訪問(wèn)控制,防止對(duì)老人健康信息的非授權(quán)訪問(wèn)。再次,針對(duì)慢性病預(yù)測(cè)在養(yǎng)老領(lǐng)域中缺乏針對(duì)性的問(wèn)題,提出老人健康分析模型,分別構(gòu)建基于Naive Bayes的老人健康分析模型和基于Logistic Regression的老人健康分析模型,采用Logistic Regression方法提取老人特征屬性,增加老人特征屬性優(yōu)化模型性能,使用Accuracy,Sensitivity和Specificity評(píng)價(jià)模型的綜合性能,實(shí)驗(yàn)結(jié)果得出基于Naive Bayes的老人健康分析模型較好。最后,基于上述面向養(yǎng)老服務(wù)的電子健康檔案數(shù)據(jù)模型,設(shè)計(jì)數(shù)據(jù)庫(kù),并實(shí)現(xiàn)面向養(yǎng)老服務(wù)的電子健康檔案系統(tǒng)。采用基于數(shù)據(jù)模型的數(shù)據(jù)融合與共享方案實(shí)現(xiàn)共享門(mén)戶網(wǎng)站功能;采用基于Naive Bayes的老人健康分析模型實(shí)現(xiàn)系統(tǒng)的老人健康分析功能;運(yùn)用黑盒測(cè)試和白盒測(cè)試方法對(duì)系統(tǒng)的老人健康評(píng)估和分析等關(guān)鍵功能以及系統(tǒng)的性能進(jìn)行測(cè)試。
[Abstract]:With the acceleration of aging in our country, the demand for old-age service is increasing, the mode of old-age service is becoming more and more diversified, and the electronic health file of the elderly is not perfect enough, lacking of data standard. Health information about the elderly cannot be shared between multiple pension models. Therefore, the standardized management of electronic health records for the elderly has become particularly important. Therefore, this paper will design and implement the electronic health file system for the aged, establish the data model of the electronic health file for the aged, and design the data fusion and sharing scheme based on the data model. Based on naive Bayes and Logistics Regression, an analysis model of elderly health is proposed. The key function modules are designed in detail and the electronic health file system oriented to pension service is implemented. The specific work includes the following aspects: firstly, aiming at the lack of standardized management of electronic health archives for pension services, the paper puts forward the need for standardization of electronic health archives for pension services. This paper establishes the data model of electronic health file for the aged service, collects the health data items of different organizations. The concept of abstract data items is the class, the attribute of the standardized class, and the range of the normalized attribute of the code list of the value range. In order to guide the establishment of the database and the implementation of the system. Secondly, aiming at the lack of interconnection between elderly health data in the field of old-age care and medical care, a scheme of data fusion and sharing is designed on the basis of the data model of electronic health archives for the aged. In order to solve the problem of semantic heterogeneity, the common Web API is designed for the system and the format of returning data is stipulated in the data model, and the access control is realized through the maintenance of users, menus and roles, and the unauthorized access to the health information of the elderly is prevented. Thirdly, aiming at the lack of pertinence in the field of chronic disease prediction in the field of old-age care, a health analysis model for the elderly is proposed, which is based on naive Bayes and Logistic Regression, respectively. The Logistic Regression method is used to extract the elderly feature attributes, to increase the performance of the model, and to evaluate the comprehensive performance of the models by using Accuracyence sensitivity and specificity. The experimental results show that the model based on naive Bayes is better for the elderly health analysis. Finally, the database is designed based on the above data model of the electronic health file for the aged service, and the electronic health file system for the aged service is implemented. The data fusion and sharing scheme based on data model is adopted to realize the function of shared portal, the elderly health analysis model based on naive Bayes is used to realize the function of elderly health analysis of the system. The key functions of the system, such as health evaluation and analysis, and the performance of the system, are tested by black box test and white box test.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：D669.6

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