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多元判别分析在产前检测胎儿神经管缺陷中的应用。

The use of multivariate discriminant analysis in the antenatal detection of fetal neural tube defects.

作者信息

Pettit B R, King G S

出版信息

Int J Biomed Comput. 1983 Nov;14(6):487-503. doi: 10.1016/0020-7101(83)90030-2.

Abstract

Early second trimester amniotic fluid is classified by stepwise discriminant analysis involving the computer program BMDP77, based upon biochemical analyses for alpha-fetoprotein and eight other easily assayed variables. The outcome of about 800 pregnancies has been predicted on this basis, over 80 of which were associated with fetal neural tube defects. Classification is shown to be more reliable than using alpha-fetoprotein and gestational age alone. Although in practice this approach has now been superceded by the introduction of the analysis of acetylcholine-esterase isoenzyme activity in amniotic fluid, the results demonstrate a successful application of discriminant analysis to medical diagnosis.

摘要

孕中期早期羊水通过涉及计算机程序BMDP77的逐步判别分析进行分类,该分析基于甲胎蛋白和其他八个易于检测变量的生化分析。在此基础上预测了约800例妊娠的结果,其中80多例与胎儿神经管缺陷有关。结果表明,这种分类方法比单独使用甲胎蛋白和孕周更可靠。虽然在实践中,这种方法现在已被羊水乙酰胆碱酯酶同工酶活性分析所取代,但结果证明了判别分析在医学诊断中的成功应用。

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