The result indicated that support vector machine method has the obvious superiority in the forecast of breast cancer incidence rate based on gain quantity of trace element.

结果表明：在根据微量元素摄入量进行乳腺癌发病率预测方面，支持向量机方法有明显的优势。

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Objective To study the superiority and application prospect of support vector machine(SVM) on the forecast of the incidence of hemorrhagic fever with renal syndrome(HFRS).

目的探讨支持向量机（SVM）在肾综合征出血热（HFRS）发病率预测上的优势及应用前景。

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