| 计算机模式识别法在甲状腺肿瘤患者血清微量元素谱研究中的应用 |
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| 引用本文： | 曾维钦,李增禧.计算机模式识别法在甲状腺肿瘤患者血清微量元素谱研究中的应用[J].广东微量元素科学,1999,6(2):19-24. |
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| 作者姓名： | 曾维钦 李增禧 |
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| 作者单位： | [1]广州市天河区妇幼保健院 [2]中国广州分析测试中心 |
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| 摘 要： | 用马氏距离判别法对５３例甲状腺肿瘤患者和５８例健康人血清中Ｂａ、Ｃｒ、Ｍｇ、Ｍｎ、Ｍｏ、Ｓｒ、Ｚｎ、Ｆｅ、Ｃｕ和Ｃａ等元素含量进行了分类研究，分类准确度达９２．８％。研究结果表明，甲状腺肿瘤病变可能与人体中Ｍｏ、Ｍｎ、Ｆｅ、Ｍｇ、Ｃａ和Ｓｒ含量异常有关。文中还计算了患者和健康人血清元素间的相关系数，并讨论了其差异性。
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| 关 键 词： | 计算机模式识别 甲状腺肿瘤 血清 微量元素 |
Application of Computer Pattern Recognition Technique in Study on Trace Elements in Serum of Patients with Thyroid Tumors |
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| Zeng Weiqin.Application of Computer Pattern Recognition Technique in Study on Trace Elements in Serum of Patients with Thyroid Tumors[J].Trace Elements Science,1999,6(2):19-24. |
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| Authors: | Zeng Weiqin |
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| Abstract: | The content of Ba, Cr, Mg, Mn, Mo, Sr, Zn, Fe, Cu and Ca in serum of 53 cases with thyroid tumors and 58 normal controls was studied by Mahalanobis distance distinguish method. The accuracy rate of classification was 92. 8%. The study showed that the occmce of thyroid tumors was related to the abnormal content of Mo, Mn, Fe, Mg, Ca and Sr in human boy. The related coefficients between trace elements in serums of patients and normal controls were calculated and their differences werediscussed. |
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| Keywords: | Computer pattern recognition Thyroid tumor Serum Trace element |
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