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多组判别分析法在恶性卵巢肿瘤B超评分诊断中的应用
引用本文:尹锡杰,全东春.多组判别分析法在恶性卵巢肿瘤B超评分诊断中的应用[J].数理统计与管理,1993,12(5):9-14.
作者姓名:尹锡杰  全东春
作者单位:延边大学数学系 (尹锡杰),延边职工大学基础部 (全东春),延边医学院数学教研室 (郭济兴),延边医学院附属医院妇产科(金昌权)
摘    要:为了妇科恶性肿瘤的早期诊断,对病人进行B型超声波的检查和B超评分,并把B超评分数作为初始条件,利用多组判别分析法,将它们划分为良性、过渡性或畸胎瘤和恶性等三类,是利用多元统计分析对妇科恶性肿瘤早期诊断的一种尝试.

关 键 词:多组判别分析  卵巢肿瘤  B超评分

Multivariate Statistical Analysis on Diagnosis of Ovarian Tumor by B-Type Ultrasonic Examination
Abstract:In B-type ultrasonic examinatian ovarian tumor can be established by four infactors, namely, capselecho, intratumor image, the linkage between capsule and interior and ascite. The kinds of tumor be established by the scores obtained from the different grades of the factors. 218 ovarian tumor samples which were established pathologically in Department of Obstertrics and Gynecology of Affiliated Hospital of Yanbian Medical College from February,1984to December,1985 and Janaury,1990 to Dcember,1991 were classified into three groups: benign, transitional (teratoma) and malignant. The scores may provide reliable mathematical basis for early diagnosis of ovarian tumors and increase diagnostic accordance rate siginificantly.
Keywords:ovarian neoplasms  diagnosis  ultrasonics  many groups  discriminatory analysts  
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