【摘要】：醫(yī)院信息系統(tǒng)(HIS)正在向著自動(dòng)化與智能化的方向不斷發(fā)展,腎內(nèi)科的信息化建設(shè)也是其重要的組成部分。推進(jìn)腎內(nèi)科的信息化建設(shè)也將為腎臟疾病臨床數(shù)據(jù)的管理與挖掘提供幫助,為腎病的診斷和治療提供一定的依據(jù)。IgA腎病,以腎小球系膜區(qū)沉積為主的一組病理診斷疾病。自1986年報(bào)導(dǎo)以來(lái)已被認(rèn)為是世界上最為常見(jiàn)的一種原發(fā)性腎小球疾病,在亞太地區(qū)發(fā)病率明顯較高,是引起終末期腎衰竭的重要原因之一。為了更有效的防治IgA腎病,進(jìn)行更深入的研究也變得尤為重要。研究需要搜集大量的臨床信息,因此利用現(xiàn)代信息技術(shù)進(jìn)行處理無(wú)疑提供了有效的途徑,根據(jù)云南省第一人民醫(yī)院腎內(nèi)科的需求,設(shè)計(jì)與實(shí)現(xiàn)了一套規(guī)范、高效、易于擴(kuò)展的腎病數(shù)據(jù)庫(kù)管理系統(tǒng)。在此基礎(chǔ)上,對(duì)腎病數(shù)據(jù)進(jìn)行挖掘分析并將結(jié)果嘗試應(yīng)用于臨床輔助診斷。本文將探討IgA腎病臨床資料的信息化管理和應(yīng)用以及對(duì)臨床指標(biāo)的挖掘研究。根據(jù)需求分析設(shè)計(jì)腎病臨床數(shù)據(jù)庫(kù)的構(gòu)架和功能,利用JAVA語(yǔ)言和ORACLE數(shù)據(jù)庫(kù),設(shè)計(jì)并建立了腎病臨床數(shù)據(jù)庫(kù)系統(tǒng)�？梢詫⒋罅繉氋F的患者臨床資料進(jìn)行保存;可以方便的進(jìn)行數(shù)據(jù)庫(kù)中信息的修改和更新;并提供快速、簡(jiǎn)便的查閱信息功能,從中得到相關(guān)的臨床信息。對(duì)于醫(yī)藥、治療情況、隨訪信息等部分以及用戶、模塊、崗位的管理也進(jìn)行了更自動(dòng)化的設(shè)計(jì)實(shí)現(xiàn)。該數(shù)據(jù)庫(kù)系統(tǒng)也是基于多中心和多單位的,以云南省第一人民醫(yī)院為中心,可以聯(lián)合其他州市的腎病臨床數(shù)據(jù)進(jìn)行大數(shù)據(jù)的研究。本文研究課題是以IgA腎病臨床檢測(cè)指標(biāo)研究的數(shù)據(jù)為基礎(chǔ),并以此為平臺(tái),利用一種基于最優(yōu)風(fēng)險(xiǎn)與預(yù)防模型算法進(jìn)行數(shù)據(jù)挖掘。所提出的方法將依據(jù)患者檢測(cè)出的部分實(shí)驗(yàn)室檢查指標(biāo)進(jìn)行挖掘,得出患病時(shí)檢查指標(biāo)的高風(fēng)險(xiǎn)范圍。實(shí)驗(yàn)結(jié)果表明:該方法可以檢測(cè)出患者患病時(shí)的指標(biāo)數(shù)值的風(fēng)險(xiǎn)范圍,為疾病預(yù)測(cè)提供幫助。另外,利用上述的挖掘方法與結(jié)果,與現(xiàn)代計(jì)算機(jī)技術(shù)相結(jié)合,實(shí)現(xiàn)一種IgA腎病的輔助診斷系統(tǒng)。醫(yī)務(wù)人員可以對(duì)就醫(yī)患者的檢測(cè)指標(biāo)進(jìn)行初步的輔助診斷。該系統(tǒng)操作簡(jiǎn)單,也能在一定程度上滿足患者的自我輔助診斷需求。
[Abstract]:Hospital information system (HIS) is developing towards the direction of automation and intelligence, and the information construction of kidney department is also an important part of it. Promoting the information construction of renal medicine will also provide help for the management and mining of clinical data of renal diseases and provide a certain basis for the diagnosis and treatment of kidney disease. IGA nephropathy is a group of pathological diagnosis diseases dominated by Mesangial deposition. Since 1986, it has been considered to be one of the most common primary glomerular diseases in the world. It has a significantly higher incidence in the Asia-Pacific region and is one of the important causes of end-stage renal failure. In order to prevent and treat IgA kidney disease more effectively, it is particularly important to carry out more in-depth research. The research needs to collect a lot of clinical information, so the use of modern information technology to deal with it undoubtedly provides an effective way to design and implement a set of norms and high efficiency according to the needs of the Department of Nephrology of the first people's Hospital of Yunnan Province. Easy to expand kidney disease database management system. On this basis, the data of kidney disease were excavated and analyzed and the results were tried to be applied to clinical auxiliary diagnosis. This paper will explore the information management and application of clinical data of IgA nephropathy and the mining of clinical indexes. According to the demand analysis, the structure and function of renal disease clinical database were designed. Using Java language and ORACLE database, the kidney disease clinical database system was designed and established. A large number of valuable clinical data of patients can be saved, the information in the database can be modified and updated conveniently, and the related clinical information can be obtained by providing rapid and simple access to information. For medicine, treatment, follow-up information and other parts, as well as users, modules, post management is also more automated design and implementation. The database system is also based on multi-center and multi-unit, taking the first people's Hospital of Yunnan Province as the center, which can combine the clinical data of kidney disease in other cities to carry out big data's research. In this paper, based on the data of clinical detection index of IgA nephropathy, a data mining algorithm based on optimal risk and prevention model is used as a platform. The proposed method will be excavated according to some laboratory examination indexes detected by the patients, and the high risk range of the examination indexes at the time of illness will be obtained. The experimental results show that this method can detect the risk range of the index value when the patient is ill, and provide help for disease prediction. In addition, using the above mining methods and results, combined with modern computer technology, a kind of auxiliary diagnosis system of IgA nephropathy is realized. Medical staff can make a preliminary auxiliary diagnosis of the detection indexes of patients seeking medical treatment. The system is simple to operate and can meet the needs of self-aided diagnosis to a certain extent.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：R197.324;TP311.13

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本文編號(hào)：2485149