| 计算机模式识别法对甲状腺机能亢进症微量元素谱的研究 |
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| 引用本文： | 陈武,何世民,黄汉添,林小华,冯宗榴,李增禧,梁业成,盛少禹.计算机模式识别法对甲状腺机能亢进症微量元素谱的研究[J].广东微量元素科学,1994,1(3):23-26. |
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| 作者姓名： | 陈武 何世民 黄汉添 林小华 冯宗榴 李增禧 梁业成 盛少禹 |
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| 作者单位： | [1]中山市人民医院，中山528400 [2]广州医学院第一附属医院 [3]广东省测试分析研究所 |
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| 摘 要： | 据Mahlanobis距离判别法，利用计算机多元统计判别程序，对14例甲亢思者和21例健康人的血清中锌、铁、铜、锰、镁和锶等元素浓度差异进行分类判别研究。选择锌、铁、钙、锶作判别特征参量时，患者和健康人的分类准确率为100％，服碘前与服碘后的甲亢患者分类准确率为92.7％，分类研究指出，甲亢患者血清中的铁和锶浓度高于健康人，经服碘治疗后，患者血清中上述元素浓度降低与健康人相近。
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| 关 键 词： | 健康人 血清 甲亢患者 甲状腺机能亢进症 治疗后 准确率 微量元素 元素浓度 判别 利用 |
The Study of Computer Pattern Recognition in Trace Elements Score of Hyperthyroidism |
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| Chen Wu, He Shimin, Huang Hantian, Lin Xiaohua.The Study of Computer Pattern Recognition in Trace Elements Score of Hyperthyroidism[J].Trace Elements Science,1994,1(3):23-26. |
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| Authors: | Chen Wu He Shimin Huang Hantian Lin Xiaohua |
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| Abstract: | Based on Mahlanobis range decision method , the concentration of Zn, Fe, Cu, Ca, Mg,Mn and Sr in 14 cases of hyperthyroidism patients and 21 cases of health controls serum were identified by a multivariate statistical classification decission program. When Zn, Fe, Ca and Sr were used as feature indices, the right decision percentage of patients and healthy human of hyperthyroidism patients treated by I before and after were 100% and 92. 7%. |
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| Keywords: | Computer pattern recognition Hyperthyroidism Serum trace elements Iodine |
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