本文選題：多元統(tǒng)計分析 + 模糊統(tǒng)計學(xué)　； 參考：《東北師范大學(xué)》2007年碩士論文

【摘要】： 妊娠高血壓綜合征(簡稱妊高征)是妊娠期特有的疾病。發(fā)病率在我國為9.4%,國外為5%～12%,該病嚴(yán)重影響母嬰健康,是孕產(chǎn)婦和圍生兒患病及死亡的主要原因~([1])。妊高征的發(fā)病原因及病理變化學(xué)說頗多,但至今尚無定論。因此,目前妊高征尚無法對因治療,臨床處理主要采用早期診斷和對癥治療。由此可見,建立可靠的妊高征預(yù)測性診斷方法對降低其發(fā)病率,控制病情發(fā)展及減少對母嬰的危害具有重要意義。目前國內(nèi)外所進(jìn)行的預(yù)測性診斷方法主要為單項指標(biāo)(單因素)的預(yù)測,其敏感度、特異度較低或不穩(wěn)定,因而其預(yù)測性診斷價值尚存在不足~([2])。妊高征的病因可能是多因素的綜合作用~([3])。因此,用多因素多指標(biāo)聯(lián)合預(yù)測,可能大大提高預(yù)測方法的價值。目前應(yīng)用多因素預(yù)測模型預(yù)測性診斷妊高征的研究僅見個別報道,而且模型涉及的因素少,也未對模型預(yù)測的效果作出評價。本文正是為了解決以上問題,提出了模糊判別分析模型,預(yù)測性診斷妊高征。 本文首先介紹了妊高征的基本概念,研究背景及預(yù)測妊高征的重要意義,既而介紹了目前國內(nèi)外預(yù)測妊高征的研究現(xiàn)狀以及本文的研究內(nèi)容。本文的中心部分是模糊數(shù)字特征的提出以及模糊判別分析模型的建立。為了證明模型的有效性,通過面向?qū)ο蠓椒?設(shè)計并實現(xiàn)了FSAS系統(tǒng)。 最后,通過大量實測數(shù)據(jù),分別用多元統(tǒng)計判別分析模型和模糊判別分析模型對妊高征進(jìn)行預(yù)測,將二者預(yù)測結(jié)果對比分析,證明模糊判別分析方法比經(jīng)典的判別分析方法更準(zhǔn)確,同時指出了未來可繼續(xù)研究的內(nèi)容。
[Abstract]:Pregnancy induced hypertension syndrome (PIH) is a special disease during pregnancy. The incidence rate is 9.4in our country and 50.12in foreign countries. The disease seriously affects maternal and child health and is the main cause of morbidity and mortality of pregnant women and perinatal children ([1]). There are many theories about the pathogenesis and pathological changes of PIH, but there is no conclusion yet. Therefore, at present, PIH can not be treated, clinical treatment is mainly used early diagnosis and symptomatic treatment. Therefore, it is important to establish a reliable predictive diagnostic method for PIH to reduce the incidence, control the development of PIH and reduce the harm to mother and child. At present, the predictive diagnostic methods at home and abroad are mainly single index (single factor) prediction, its sensitivity, specificity is low or unstable, so its predictive diagnostic value is still insufficient ([2]). The etiology of PIH may be caused by multiple factors ([3]). Therefore, the value of forecasting method may be greatly improved by using multiple factors and multiple indexes. At present, there are only a few reports on predictive diagnosis of PIH using multivariate prediction model, and the model has few factors involved, and the effect of model prediction is not evaluated. In order to solve the above problems, a fuzzy discriminant analysis model is proposed to predict the diagnosis of pregnancy induced hypertension (PIH). This paper first introduces the basic concept of PIH, the research background and the significance of PIH prediction, then introduces the current research situation and the research content of PIH at home and abroad. The central part of this paper is the presentation of fuzzy digital features and the establishment of fuzzy discriminant analysis model. In order to prove the validity of the model, the FSAS system is designed and implemented by object-oriented method. Finally, the multivariate statistical discriminant analysis model and fuzzy discriminant analysis model are used to predict PIH through a large number of measured data. It is proved that the fuzzy discriminant analysis method is more accurate than the classical discriminant analysis method.
【學(xué)位授予單位】：東北師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2007
【分類號】：R714.2;R311

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本文編號：1859356